4. Topic Modeling.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div style=\"width: 100%; overflow: hidden;\">\n",
    "    <div style=\"width: 150px; float: left;\"> <img src=\"data/D4Sci_logo_ball.png\" alt=\"Data For Science, Inc\" align=\"left\" border=\"0\"> </div>\n",
    "    <div style=\"float: left; margin-left: 10px;\"> \n",
    "        <h1>Natural Language Processing</h1>\n",
    "        <h1>Topic Modeling</h1>\n",
    "        <p>Bruno Gonçalves<br/>\n",
    "        <a href=\"http://www.data4sci.com/\">www.data4sci.com</a><br/>\n",
    "        @bgoncalves, @data4sci</p></div>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import string\n",
    "from collections import Counter\n",
    "from pprint import pprint\n",
    "import gzip\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "import nltk\n",
    "from nltk.text import TextCollection\n",
    "\n",
    "import numpy as np\n",
    "from numpy.linalg import svd\n",
    "from numpy import diag\n",
    "\n",
    "import sklearn\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "from sklearn.decomposition import NMF\n",
    "from sklearn.cluster import AgglomerativeClustering\n",
    "from scipy.cluster.hierarchy import dendrogram\n",
    "from sklearn.decomposition import LatentDirichletAllocation\n",
    "\n",
    "import watermark\n",
    "\n",
    "%matplotlib inline\n",
    "%load_ext watermark"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List out the versions of all loaded libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python implementation: CPython\n",
      "Python version       : 3.11.7\n",
      "IPython version      : 8.12.3\n",
      "\n",
      "Compiler    : Clang 14.0.6 \n",
      "OS          : Darwin\n",
      "Release     : 24.3.0\n",
      "Machine     : arm64\n",
      "Processor   : arm\n",
      "CPU cores   : 16\n",
      "Architecture: 64bit\n",
      "\n",
      "Git hash: 9c8c00758f3a2fa8e55e08f5aad405a157ca5dd2\n",
      "\n",
      "sklearn   : 1.5.2\n",
      "nltk      : 3.8.1\n",
      "matplotlib: 3.8.0\n",
      "numpy     : 1.26.4\n",
      "watermark : 2.4.3\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%watermark -n -v -m -g -iv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the default style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('./d4sci.mplstyle')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load a standard list of stopwords from a file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "stopwords = nltk.corpus.stopwords.words('english')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', \"you're\"]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(stopwords)[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since we'll be using tweets, we start by instantiating the TweetTokenizer. This will ensure that we preserve #tags, @usernames, etc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = nltk.tokenize.TweetTokenizer()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Process the data from the file. File was obtained from crowdflower (https://www.crowdflower.com/data-for-everyone/) and contains a list of tweets about Apple from 2014 and some information about their sentiment. For our purposes, we only care about the text of each tweet that is located in the last column of the csv file.\n",
    "\n",
    "We treat each tweet as an individual document, and limit ourselves to only the first 200 tweets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets = []\n",
    "line_count = 0\n",
    "\n",
    "for line in open(\"data/Apple-Twitter-Sentiment-DFE.csv\", \"rt\"):\n",
    "    fields = line.strip().split(',')\n",
    "    \n",
    "    line_count += 1\n",
    "    \n",
    "    # Skip the first line of the file which contains the header\n",
    "    if line_count == 1:\n",
    "        continue\n",
    "    \n",
    "    text = \",\".join(fields[11:])\n",
    "    \n",
    "    if len(text) == 0:\n",
    "        continue\n",
    "    \n",
    "    words = tokenizer.tokenize(text.lower())\n",
    "    clean_words = []\n",
    "    \n",
    "    for word in words:\n",
    "        if word in stopwords\\\n",
    "        or word in string.punctuation\\\n",
    "        or \"/\" in word:\n",
    "            continue\n",
    "            \n",
    "        clean_words.append(word)\n",
    "    \n",
    "    if len(words) > 0:\n",
    "        tweets.append(clean_words)\n",
    "        \n",
    "    if len(tweets) == 500:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['cat', 'chews', '@apple', 'cords', '#applesnob'],\n",
       " ['nobody', 'expects', 'spanish', 'inquisition', '#aapl'],\n",
       " ['#aapl',\n",
       "  '5',\n",
       "  'rocket',\n",
       "  'stocks',\n",
       "  'buy',\n",
       "  'december',\n",
       "  'gains',\n",
       "  'apple',\n",
       "  '...'],\n",
       " ['top', '3', '@apple', '#tablets', 'damn', 'right'],\n",
       " ['apple', 'inc', 'flash', 'crash', 'need', 'know', '#aapl']]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define the function to calculate the Inverse Document Frequency for each word and the TFIDF matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus = TextCollection(tweets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Text: cat chews @apple cords #applesnob nobody expects spanish...>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the TFIDF matrix for our corpus of tweets. We should note that while we call it a matrix, this is effectively a list of dictionaries, which we can consider to be a sparse representation of a matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "TFIDF = []\n",
    "\n",
    "for tweet in tweets:\n",
    "    score = {}\n",
    "    \n",
    "    for token in set(tweet):\n",
    "        score[token] = corpus.tf_idf(token, tweet)\n",
    "        \n",
    "    TFIDF.append(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'@apple': 0.090511343128403,\n",
       "  'cat': 1.1042921835724493,\n",
       "  '#applesnob': 1.2429216196844384,\n",
       "  'chews': 1.2429216196844384,\n",
       "  'cords': 1.1042921835724493},\n",
       " {'nobody': 1.2429216196844384,\n",
       "  'inquisition': 1.2429216196844384,\n",
       "  '#aapl': 0.21458890838390637,\n",
       "  'spanish': 1.2429216196844384,\n",
       "  'expects': 1.2429216196844384},\n",
       " {'december': 0.5364793041447001,\n",
       "  'apple': 0.19177463652111687,\n",
       "  'rocket': 0.6905120109357991,\n",
       "  '...': 0.26754951207243016,\n",
       "  'buy': 0.3896175441466646,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  '5': 0.4742997721518754,\n",
       "  'gains': 0.6905120109357991,\n",
       "  'stocks': 0.6134956575402495},\n",
       " {'damn': 0.8047189562170503,\n",
       "  '3': 0.8047189562170503,\n",
       "  '#tablets': 1.0357680164036984,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'top': 0.852665968292347,\n",
       "  'right': 0.7371414381990228},\n",
       " {'inc': 0.48305639348085366,\n",
       "  'need': 0.5107929669724189,\n",
       "  'apple': 0.24656738981286455,\n",
       "  'know': 0.6578814551411559,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  'crash': 0.6098139927666969,\n",
       "  'flash': 0.6578814551411559},\n",
       " {'biggest': 0.5684439788615646,\n",
       "  'presentation': 0.6905120109357991,\n",
       "  \"world's\": 0.6905120109357991,\n",
       "  'shows': 0.6134956575402495,\n",
       "  'tech': 0.5364793041447001,\n",
       "  'makes': 0.6134956575402495,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  '...': 0.26754951207243016,\n",
       "  'companies': 0.4914276254660152},\n",
       " {'29': 0.6905120109357991,\n",
       "  'ago': 0.6905120109357991,\n",
       "  'battery': 0.43466922282534953,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'second': 0.5684439788615646,\n",
       "  'wtf': 1.1368879577231292,\n",
       "  '31': 0.6905120109357991,\n",
       "  'one': 0.4463759467873302},\n",
       " {'engine': 0.5178840082018492,\n",
       "  'apple': 0.14383097739083767,\n",
       "  'tops': 0.5178840082018492,\n",
       "  'search': 0.3685707190995114,\n",
       "  '#iwatch': 0.5178840082018492,\n",
       "  'tech': 0.4023594781085251,\n",
       "  'wearable': 0.5178840082018492,\n",
       "  '#applewatch': 0.4263329841461735,\n",
       "  'best': 0.3837641821656743,\n",
       "  'list': 0.5178840082018492,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'watch': 0.3685707190995114},\n",
       " {'@apple': 0.07542611927366916,\n",
       "  'world': 0.689194426123726,\n",
       "  '#iphone': 0.5736698960304017,\n",
       "  'best-designed': 1.0357680164036984,\n",
       "  'according': 0.852665968292347,\n",
       "  '#apps': 0.9202434863103743},\n",
       " {'rt': 0.14250717094614893,\n",
       "  '..': 0.3448795526644501,\n",
       "  'install': 0.39439006556158895,\n",
       "  'good': 0.28695596579185517,\n",
       "  '@augustsmartlock': 0.44390057845872793,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  '@peterpham': 0.44390057845872793,\n",
       "  'bought': 0.36542827212529155,\n",
       "  'logo': 0.36542827212529155,\n",
       "  'pretty': 0.44390057845872793,\n",
       "  \"can't\": 0.28695596579185517,\n",
       "  'match': 0.36542827212529155,\n",
       "  'store': 0.25539648348620947,\n",
       "  'wait': 0.44390057845872793},\n",
       " {'8': 0.32894072757057796,\n",
       "  'used': 0.36542827212529155,\n",
       "  'stable': 0.44390057845872793,\n",
       "  'past': 0.44390057845872793,\n",
       "  '#isync': 0.44390057845872793,\n",
       "  'yosemite': 0.3448795526644501,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'much': 0.31591775922815263,\n",
       "  'screwed': 0.39439006556158895,\n",
       "  '#icloud': 0.44390057845872793,\n",
       "  'ios': 0.29536903976731116,\n",
       "  'sync': 0.44390057845872793,\n",
       "  'contact': 0.44390057845872793,\n",
       "  'seriously': 0.44390057845872793},\n",
       " {'drops': 0.3655651822601289,\n",
       "  '#rumors': 0.3655651822601289,\n",
       "  'dumb': 0.3655651822601289,\n",
       "  'twitter': 0.27089236388165244,\n",
       "  'followers': 0.3655651822601289,\n",
       "  '3': 0.2840184551354295,\n",
       "  'dummies': 0.3655651822601289,\n",
       "  'factual': 0.3655651822601289,\n",
       "  'non': 0.3655651822601289,\n",
       "  'minute': 0.3655651822601289,\n",
       "  '#aapl': 0.06311438481879598,\n",
       "  'points': 0.3655651822601289,\n",
       "  '@applenws': 0.3655651822601289,\n",
       "  'thanks': 0.4602380006386054,\n",
       "  'one': 0.23631667771093953,\n",
       "  'stock': 0.23631667771093953},\n",
       " {'warning': 0.5649643725838356,\n",
       "  'use': 0.3652166837350884,\n",
       "  'iphone': 0.5240733796812705,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'cannot': 0.5019509925329315,\n",
       "  'buy': 0.3187779906654529,\n",
       "  'unlocked': 0.5649643725838356,\n",
       "  'verizon': 0.46509052815946206,\n",
       "  '5s': 0.5649643725838356,\n",
       "  'network': 0.5649643725838356},\n",
       " {'days': 0.4135166556742356,\n",
       "  'cantlie': 0.6214608098422192,\n",
       "  'isis': 0.6214608098422192,\n",
       "  'show': 0.5115995809754083,\n",
       "  'abandoned': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'prisoner': 0.6214608098422192,\n",
       "  'sign': 0.5521460917862246,\n",
       "  'john': 0.6214608098422192,\n",
       "  '739': 0.6214608098422192},\n",
       " {'checkin': 0.47804677680170704,\n",
       "  'minutes': 0.4247277629124805,\n",
       "  'xtra': 0.47804677680170704,\n",
       "  'upper': 0.47804677680170704,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'store': 0.27504236683130256,\n",
       "  'running': 0.47804677680170704,\n",
       "  '50': 0.47804677680170704,\n",
       "  'appointments': 0.4247277629124805,\n",
       "  'westside': 0.47804677680170704,\n",
       "  'thanks': 0.30092484657139584,\n",
       "  'late': 0.35424386046062245,\n",
       "  'almost': 0.4247277629124805},\n",
       " {'money': 0.30490699638334845,\n",
       "  'suggested': 0.44390057845872793,\n",
       "  'morning': 0.44390057845872793,\n",
       "  'would': 0.31591775922815263,\n",
       "  'widel': 0.44390057845872793,\n",
       "  '...': 0.17199611490370512,\n",
       "  'analysts': 0.39439006556158895,\n",
       "  'nothing': 0.44390057845872793,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'mini-flash': 0.44390057845872793,\n",
       "  'make': 0.29536903976731116,\n",
       "  'today': 0.279430214673439,\n",
       "  'crash': 0.30490699638334845,\n",
       "  'stock': 0.28695596579185517},\n",
       " {'equity': 0.6905120109357991,\n",
       "  'momentarily': 0.6905120109357991,\n",
       "  '..': 0.5364793041447001,\n",
       "  'aberration': 0.6905120109357991,\n",
       "  'world': 0.45946295074915067,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'aapl': 0.25148493109341824,\n",
       "  '...': 0.26754951207243016,\n",
       "  'dip': 0.6905120109357991},\n",
       " {'newly': 0.5019509925329315,\n",
       "  'issued': 0.5019509925329315,\n",
       "  '#connected': 0.40207714810855794,\n",
       "  'macbook': 0.3022033036841843,\n",
       "  'hines': 0.5019509925329315,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'ipad': 0.3250500698915394,\n",
       "  '#txed': 0.3880634499424435,\n",
       "  'jh': 0.5019509925329315,\n",
       "  'mini': 0.3759242324311233,\n",
       "  'staff': 0.5019509925329315},\n",
       " {'ip': 0.46012174315518717,\n",
       "  'court': 0.3837641821656743,\n",
       "  'look': 0.4263329841461735,\n",
       "  'need': 0.2979625640672444,\n",
       "  '@samsung': 0.4263329841461735,\n",
       "  'battles': 0.46012174315518717,\n",
       "  'portfolio': 0.46012174315518717,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '@robconeybeer': 0.46012174315518717,\n",
       "  'big': 0.3837641821656743,\n",
       "  'defend': 0.4263329841461735,\n",
       "  'companies': 0.3685707190995114},\n",
       " {'damn': 0.4389376124820274,\n",
       "  'app': 0.41865183508982656,\n",
       "  'back': 0.34697389323852923,\n",
       "  'calendar': 0.5649643725838356,\n",
       "  'gawd': 0.5019509925329315,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'fixed': 0.46509052815946206,\n",
       "  '1': 0.3556384550389224,\n",
       "  'center': 1.1299287451676712,\n",
       "  'love': 0.3880634499424435},\n",
       " {'chill': 0.5649643725838356,\n",
       "  'every': 0.5019509925329315,\n",
       "  'storage': 0.5649643725838356,\n",
       "  'minutes': 0.5019509925329315,\n",
       "  'notification': 0.5649643725838356,\n",
       "  'get': 0.22303708933896632,\n",
       "  'full': 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  '5': 0.3880634499424435,\n",
       "  'literally': 0.5019509925329315,\n",
       "  'almost': 0.5019509925329315},\n",
       " {'keep': 0.5364793041447001,\n",
       "  'galaxy': 0.6905120109357991,\n",
       "  'note': 0.6905120109357991,\n",
       "  'edge': 0.6905120109357991,\n",
       "  '#switch': 0.6905120109357991,\n",
       "  'iphone': 0.3202670653607764,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  '6': 0.36935959339178076,\n",
       "  'made': 0.5684439788615646},\n",
       " {'everywhere': 0.5178840082018492,\n",
       "  'rt': 0.1662583661038404,\n",
       "  'stickers': 0.5178840082018492,\n",
       "  'stand': 0.46012174315518717,\n",
       "  '@101baemations': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  \"can't\": 0.33478196009049765,\n",
       "  'bought': 0.4263329841461735,\n",
       "  'shuffle': 0.5178840082018492,\n",
       "  'ppl': 0.5178840082018492,\n",
       "  'prob': 0.5178840082018492,\n",
       "  'ipod': 0.3685707190995114},\n",
       " {'century': 0.29262507498801826,\n",
       "  '18th': 0.29262507498801826,\n",
       "  'federal': 0.29262507498801826,\n",
       "  'get': 0.22303708933896632,\n",
       "  'iphones': 0.2799194438630038,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'cites': 0.29262507498801826,\n",
       "  'unlock': 0.2881896055180699,\n",
       "  'law': 0.29262507498801826,\n",
       "  'justice': 0.29262507498801826,\n",
       "  'department': 0.29262507498801826},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'huge': 0.34106638731693883,\n",
       "  'rt': 0.13300669288307232,\n",
       "  'century': 0.21459172165788004,\n",
       "  '18th': 0.21459172165788004,\n",
       "  'good': 0.26782556807239816,\n",
       "  'federal': 0.21459172165788004,\n",
       "  'get': 0.16356053218190864,\n",
       "  'iphones': 0.20527425883286948,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'cites': 0.21459172165788004,\n",
       "  'unlock': 0.21133904404658457,\n",
       "  'law': 0.21459172165788004,\n",
       "  'justice': 0.21459172165788004,\n",
       "  '@thehill': 0.1997154849035994,\n",
       "  'department': 0.21459172165788004},\n",
       " {'4th': 1.0357680164036984,\n",
       "  'amendment': 1.0357680164036984,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'cite': 0.9202434863103743,\n",
       "  'retort': 1.0357680164036984,\n",
       "  '@thehill': 0.49928871225899846},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'rt': 0.2493875491557606,\n",
       "  '...': 0.300993201081484,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'upgrading': 0.7768260123027739,\n",
       "  'thinking': 0.7768260123027739,\n",
       "  '@rwang0': 0.7768260123027739,\n",
       "  '@saxonidubom': 0.7768260123027739,\n",
       "  'thanks': 0.48900287567851825},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'rt': 0.1246937745778803,\n",
       "  'relevant': 0.38841300615138696,\n",
       "  'century': 0.20117973905426254,\n",
       "  '18th': 0.20117973905426254,\n",
       "  'federal': 0.20117973905426254,\n",
       "  'get': 0.15333799892053934,\n",
       "  'iphones': 0.19244461765581514,\n",
       "  'stay': 0.3450913073663904,\n",
       "  '@apple': 0.028284794727625937,\n",
       "  'way': 0.3450913073663904,\n",
       "  'cites': 0.20117973905426254,\n",
       "  'unlock': 0.19813035379367305,\n",
       "  'law': 0.20117973905426254,\n",
       "  'justice': 0.20117973905426254,\n",
       "  '@thehill': 0.18723326709712443,\n",
       "  'department': 0.20117973905426254},\n",
       " {'inc': 0.48305639348085366,\n",
       "  'need': 0.5107929669724189,\n",
       "  'apple': 0.24656738981286455,\n",
       "  'know': 0.6578814551411559,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  'crash': 0.6098139927666969,\n",
       "  'flash': 0.6578814551411559},\n",
       " {},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'ever': 0.39439006556158895,\n",
       "  'work': 0.3448795526644501,\n",
       "  'determined': 0.44390057845872793,\n",
       "  'screwed': 0.39439006556158895,\n",
       "  'trading': 0.31591775922815263,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'im': 0.44390057845872793,\n",
       "  'really': 0.28695596579185517,\n",
       "  'today': 0.279430214673439,\n",
       "  'traders': 0.44390057845872793,\n",
       "  'make': 0.29536903976731116,\n",
       "  'crash': 0.30490699638334845,\n",
       "  'lot': 0.3448795526644501,\n",
       "  'flash': 0.32894072757057796},\n",
       " {'newly': 0.39439006556158895,\n",
       "  'rt': 0.14250717094614893,\n",
       "  'issued': 0.39439006556158895,\n",
       "  '#connected': 0.31591775922815263,\n",
       "  'macbook': 0.2374454528947162,\n",
       "  'hines': 0.39439006556158895,\n",
       "  '@tra_hall': 0.39439006556158895,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'ipad': 0.25539648348620947,\n",
       "  '#txed': 0.6098139927666969,\n",
       "  'jh': 0.39439006556158895,\n",
       "  'mini': 0.29536903976731116,\n",
       "  'staff': 0.39439006556158895},\n",
       " {'update': 0.7151101537613866,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'nigga': 1.2429216196844384,\n",
       "  'yall': 0.9656627474604603,\n",
       "  'headphones': 1.1042921835724493},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'8': 0.32894072757057796,\n",
       "  'anymore': 0.39439006556158895,\n",
       "  'since': 0.39439006556158895,\n",
       "  'use': 0.28695596579185517,\n",
       "  'win': 0.39439006556158895,\n",
       "  'browser': 0.44390057845872793,\n",
       "  'keeps': 0.32894072757057796,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'closing': 0.44390057845872793,\n",
       "  'ok': 0.44390057845872793,\n",
       "  'counted': 0.44390057845872793,\n",
       "  'times': 0.39439006556158895,\n",
       "  'today': 0.279430214673439,\n",
       "  'literally': 0.39439006556158895},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'constitution': 0.46012174315518717,\n",
       "  'powers': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'cannot': 0.46012174315518717,\n",
       "  'violation': 0.4263329841461735,\n",
       "  'cite': 0.46012174315518717,\n",
       "  'separation': 0.5178840082018492,\n",
       "  'pass': 0.5178840082018492,\n",
       "  'judges': 0.5178840082018492,\n",
       "  'laws': 0.46012174315518717,\n",
       "  '@thehill': 0.24964435612949923,\n",
       "  'us': 0.35572482911390657},\n",
       " {'together': 0.3759242324311233,\n",
       "  'shit': 0.3250500698915394,\n",
       "  'need': 0.3250500698915394,\n",
       "  'let': 0.41865183508982656,\n",
       "  'get': 0.22303708933896632,\n",
       "  'youtube': 0.5019509925329315,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'fucking': 0.3652166837350884,\n",
       "  'u': 0.29728810175052284,\n",
       "  'txt': 0.5019509925329315,\n",
       "  'ur': 0.3759242324311233},\n",
       " {'privacy': 0.5019509925329315,\n",
       "  'search': 0.40207714810855794,\n",
       "  'wish': 0.41865183508982656,\n",
       "  'seizure': 0.5019509925329315,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'violation': 0.46509052815946206,\n",
       "  'could': 0.3652166837350884,\n",
       "  'admin': 0.5019509925329315,\n",
       "  'prosecute': 0.46509052815946206,\n",
       "  'criminal': 0.5019509925329315,\n",
       "  '@thehill': 0.2723392975958174},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'constitution': 0.5521460917862246,\n",
       "  'sedition': 0.6214608098422192,\n",
       "  'secrecy': 0.6214608098422192,\n",
       "  'activities': 0.6214608098422192,\n",
       "  'furthermore': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'provisions': 0.6214608098422192,\n",
       "  'gov': 0.6214608098422192,\n",
       "  '@thehill': 0.2995732273553991,\n",
       "  'us': 0.4268697949366879},\n",
       " {'dropped': 1.0231991619508165,\n",
       "  'apple': 0.34519434573801044,\n",
       "  \"here's\": 0.9656627474604603,\n",
       "  '#aapl': 0.21458890838390637,\n",
       "  '...': 0.4815891217303744},\n",
       " {'explains': 0.6214608098422192,\n",
       "  'chart': 0.6214608098422192,\n",
       "  'interesting': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'think': 0.4422848629194137,\n",
       "  '@tim_cook': 0.4268697949366879,\n",
       "  'paints': 0.6214608098422192,\n",
       "  'affect': 0.6214608098422192,\n",
       "  'story': 0.6214608098422192,\n",
       "  'one': 0.40173835210859726},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'december': 0.6897591053289002,\n",
       "  'final': 0.8878011569174559,\n",
       "  'monday': 0.7887801311231779,\n",
       "  '#putcallratios': 0.8878011569174559,\n",
       "  '2014': 0.7308565442505831,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  '1': 0.558860429346878},\n",
       " {'red': 0.5364793041447001,\n",
       "  'dec': 0.34525600546789953,\n",
       "  '#apple': 0.13135891648400738,\n",
       "  'apple': 0.09588731826055844,\n",
       "  'abl': 0.34525600546789953,\n",
       "  'logo': 0.5684439788615646,\n",
       "  'world': 0.45946295074915067,\n",
       "  '#aapl': 0.059608030106640654,\n",
       "  '1': 0.21733461141267477,\n",
       "  'aids': 0.5364793041447001,\n",
       "  'day': 0.5364793041447001,\n",
       "  '...': 0.13377475603621508,\n",
       "  'launches': 0.2842219894307823},\n",
       " {'fuck': 1.168852632439994,\n",
       "  'hey': 1.6094379124341005,\n",
       "  '@apple': 0.1508522385473383},\n",
       " {'inc': 0.48305639348085366,\n",
       "  'apple': 0.24656738981286455,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  'faster': 0.7887801311231779,\n",
       "  '5': 0.6098139927666969,\n",
       "  'companies': 0.6318355184563053,\n",
       "  'growing': 0.7887801311231779},\n",
       " {'expensive': 0.8878011569174559,\n",
       "  'laptop': 0.6897591053289002,\n",
       "  'people': 0.6897591053289002,\n",
       "  'buying': 0.7308565442505831,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'explain': 0.8878011569174559,\n",
       "  'precautions': 0.8878011569174559},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'huh': 1.2429216196844384,\n",
       "  'bored': 1.2429216196844384,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'u': 0.6540338238511503,\n",
       "  '@quailman_': 1.2429216196844384},\n",
       " {'ip': 0.39439006556158895,\n",
       "  'rt': 0.14250717094614893,\n",
       "  'court': 0.32894072757057796,\n",
       "  'look': 0.36542827212529155,\n",
       "  'need': 0.25539648348620947,\n",
       "  '@samsung': 0.36542827212529155,\n",
       "  'battles': 0.39439006556158895,\n",
       "  'portfolio': 0.39439006556158895,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  '@wagner_tim': 0.44390057845872793,\n",
       "  '@robconeybeer': 0.39439006556158895,\n",
       "  'big': 0.32894072757057796,\n",
       "  'defend': 0.36542827212529155,\n",
       "  'companies': 0.31591775922815263},\n",
       " {'customer': 0.6098139927666969,\n",
       "  '#apple': 0.16889003547943807,\n",
       "  'displeased': 0.36542827212529155,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'hard': 0.31591775922815263,\n",
       "  'given': 0.3448795526644501,\n",
       "  'die': 0.36542827212529155,\n",
       "  'service': 0.29536903976731116,\n",
       "  '#badservice': 0.36542827212529155,\n",
       "  'today': 0.279430214673439,\n",
       "  'say': 0.3448795526644501,\n",
       "  'truly': 0.36542827212529155,\n",
       "  'must': 0.39439006556158895},\n",
       " {'customer': 0.30490699638334845,\n",
       "  'worth': 0.39439006556158895,\n",
       "  'mis': 0.44390057845872793,\n",
       "  'clear': 0.36542827212529155,\n",
       "  'stand': 0.39439006556158895,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'measly': 0.44390057845872793,\n",
       "  'info': 0.39439006556158895,\n",
       "  'made': 0.36542827212529155,\n",
       "  'gave': 0.39439006556158895,\n",
       "  'today': 0.279430214673439,\n",
       "  'behind': 0.39439006556158895,\n",
       "  '79': 0.44390057845872793,\n",
       "  'employee': 0.44390057845872793},\n",
       " {'#worldaidsday': 0.4143072065614794,\n",
       "  'red': 0.3218875824868201,\n",
       "  'fight': 0.3218875824868201,\n",
       "  '@appstore': 0.36809739452414975,\n",
       "  'get': 0.16356053218190864,\n",
       "  'inspi': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  '@red': 0.4143072065614794,\n",
       "  '@farmville2': 0.4143072065614794,\n",
       "  '@tim_cook': 0.2845798632911253,\n",
       "  'aids': 0.3218875824868201,\n",
       "  '@csrracing': 0.4143072065614794,\n",
       "  'go': 0.36809739452414975,\n",
       "  '100': 0.3218875824868201,\n",
       "  '#appsforred': 0.4143072065614794},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'air': 0.3218875824868201,\n",
       "  '#ebay': 0.4143072065614794,\n",
       "  '#cybermonday': 0.30701134573253946,\n",
       "  '#ipad': 0.25444752170825474,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  '#firstworldproblems': 0.4143072065614794,\n",
       "  'tablet': 0.3218875824868201,\n",
       "  '2': 0.22161575603506845,\n",
       "  '400': 0.4143072065614794,\n",
       "  'free': 0.25444752170825474,\n",
       "  'via': 0.19710077069338064,\n",
       "  'wifi': 0.34106638731693883,\n",
       "  'retina': 0.34106638731693883,\n",
       "  'shipping': 0.4143072065614794,\n",
       "  '16gb': 0.36809739452414975},\n",
       " {'8': 0.28782313662425574,\n",
       "  '#capturescream': 0.38841300615138696,\n",
       "  '#nocrop': 0.38841300615138696,\n",
       "  'photo': 0.3450913073663904,\n",
       "  '@iphone': 0.3450913073663904,\n",
       "  '#love': 0.38841300615138696,\n",
       "  '#iphone': 0.21512621101140067,\n",
       "  '@apple': 0.028284794727625937,\n",
       "  '#young': 0.38841300615138696,\n",
       "  '#phone': 0.38841300615138696,\n",
       "  '#boy': 0.38841300615138696,\n",
       "  'ios': 0.25844790979639726,\n",
       "  '#ios8': 0.38841300615138696,\n",
       "  '...': 0.150496600540742,\n",
       "  '#screen': 0.38841300615138696,\n",
       "  'love': 0.26679362183542993},\n",
       " {'vpn': 0.34525600546789953,\n",
       "  '8': 0.2558427881104495,\n",
       "  'like': 0.17882643471490003,\n",
       "  'data': 0.2842219894307823,\n",
       "  'work': 0.26823965207235007,\n",
       "  'use': 0.2231879733936651,\n",
       "  'nsa': 0.34525600546789953,\n",
       "  'people': 0.26823965207235007,\n",
       "  'built': 0.34525600546789953,\n",
       "  '@apple': 0.02514203975788972,\n",
       "  'button': 0.34525600546789953,\n",
       "  'want': 0.26823965207235007,\n",
       "  \"apple's\": 0.21733461141267477,\n",
       "  'collection': 0.34525600546789953,\n",
       "  'ios': 0.22973147537457533,\n",
       "  'service': 0.22973147537457533,\n",
       "  'ffs': 0.34525600546789953,\n",
       "  'force': 0.34525600546789953},\n",
       " {'take': 0.8845697258388274,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'hell': 1.0231991619508165,\n",
       "  '@timcook': 1.2429216196844384,\n",
       "  'screenshot': 1.2429216196844384},\n",
       " {'rt': 0.1662583661038404,\n",
       "  'century': 0.26823965207235,\n",
       "  '18th': 0.26823965207235,\n",
       "  'federal': 0.26823965207235,\n",
       "  'get': 0.20445066522738578,\n",
       "  'iphones': 0.2565928235410868,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'cites': 0.26823965207235,\n",
       "  'unlock': 0.26417380505823074,\n",
       "  'law': 0.26823965207235,\n",
       "  '@thehill': 0.24964435612949923,\n",
       "  'department': 0.26823965207235},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'dove': 0.44390057845872793,\n",
       "  '@wsjd': 0.44390057845872793,\n",
       "  'analysts': 0.39439006556158895,\n",
       "  'open': 0.39439006556158895,\n",
       "  'sure': 0.44390057845872793,\n",
       "  'briefly': 0.44390057845872793,\n",
       "  'mt': 0.36542827212529155,\n",
       "  'buy': 0.2504684212371415,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'today': 0.279430214673439,\n",
       "  '6.4': 0.44390057845872793,\n",
       "  'lot': 0.3448795526644501,\n",
       "  'stock': 0.28695596579185517,\n",
       "  'round': 0.39439006556158895},\n",
       " {'battery': 0.7824046010856293,\n",
       "  'fix': 0.8537395898733758,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'draining': 1.2429216196844384,\n",
       "  '3g': 1.2429216196844384},\n",
       " {'like': 0.22991970177630003,\n",
       "  \"daughter's\": 0.44390057845872793,\n",
       "  'daughter': 0.44390057845872793,\n",
       "  '#losingfaithinpeople': 0.44390057845872793,\n",
       "  'working': 0.36542827212529155,\n",
       "  'thief': 0.44390057845872793,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'hard': 0.31591775922815263,\n",
       "  'earn': 0.44390057845872793,\n",
       "  'buy': 0.2504684212371415,\n",
       "  'try': 0.44390057845872793,\n",
       "  '#ipod': 0.30490699638334845,\n",
       "  'stolen': 0.44390057845872793,\n",
       "  'one': 0.28695596579185517},\n",
       " {'suck': 1.0357680164036984,\n",
       "  'break': 1.0357680164036984,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'chargers': 0.9202434863103743,\n",
       "  'ass': 1.0357680164036984,\n",
       "  'love': 0.7114496582278131},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'horsemen': 0.6214608098422192,\n",
       "  'nasdaq': 0.5521460917862246,\n",
       "  'apple': 0.17259717286900522,\n",
       "  'microsoft': 0.6214608098422192,\n",
       "  'three': 0.6214608098422192,\n",
       "  'gilead': 0.6214608098422192,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  '...': 0.2407945608651872,\n",
       "  '100': 0.48283137373023016,\n",
       "  'scie': 0.6214608098422192},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'u2': 0.3450913073663904,\n",
       "  'together': 0.25844790979639726,\n",
       "  'automatically': 0.38841300615138696,\n",
       "  'singing': 0.38841300615138696,\n",
       "  'download': 0.31974973810963014,\n",
       "  'bruce': 0.38841300615138696,\n",
       "  'springsteen': 0.38841300615138696,\n",
       "  '@apple': 0.028284794727625937,\n",
       "  '#thatwasbad': 0.38841300615138696,\n",
       "  '#bruce': 0.38841300615138696,\n",
       "  'make': 0.25844790979639726,\n",
       "  '#u2': 0.38841300615138696,\n",
       "  \"i'm\": 0.27642803932463356,\n",
       "  'hoping': 0.38841300615138696,\n",
       "  '#espn': 0.38841300615138696,\n",
       "  'us': 0.26679362183542993},\n",
       " {'wilson': 0.5649643725838356,\n",
       "  'killer': 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'joke': 0.5649643725838356,\n",
       "  'pursuit': 0.5649643725838356,\n",
       "  'dept': 0.5649643725838356,\n",
       "  '#ferguson': 0.5649643725838356,\n",
       "  'prosecute': 0.46509052815946206,\n",
       "  'justice': 0.5852501499760365,\n",
       "  '@thehill': 0.2723392975958174},\n",
       " {'@aydlettgwyn13': 1.1042921835724493,\n",
       "  'please': 0.8270333113484712,\n",
       "  'educate': 1.1042921835724493,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'us': 0.8537395898733758},\n",
       " {'privacy': 0.4247277629124805,\n",
       "  'rt': 0.1534692610189296,\n",
       "  '@tinfoiltricorn': 0.47804677680170704,\n",
       "  'search': 0.34021912532262594,\n",
       "  'wish': 0.35424386046062245,\n",
       "  'seizure': 0.4247277629124805,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'violation': 0.3935381392118525,\n",
       "  'could': 0.3090295016219979,\n",
       "  'admin': 0.4247277629124805,\n",
       "  'prosecute': 0.3935381392118525,\n",
       "  'criminal': 0.4247277629124805,\n",
       "  '@thehill': 0.23044094411953778},\n",
       " {'game': 0.3837641821656743,\n",
       "  'name': 0.4263329841461735,\n",
       "  '#market': 0.3837641821656743,\n",
       "  '#stock': 0.5178840082018492,\n",
       "  '#darkpools': 0.5178840082018492,\n",
       "  'play': 0.4263329841461735,\n",
       "  '#trading': 0.3041382284133879,\n",
       "  '#algorithms': 0.5178840082018492,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  '#traders': 0.5178840082018492,\n",
       "  '#hft': 0.5178840082018492,\n",
       "  '#liquidity': 0.5178840082018492},\n",
       " {'need': 0.4469438461008666,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'read': 0.7768260123027739,\n",
       "  '...': 0.300993201081484,\n",
       "  'steve': 0.3848892353116303,\n",
       "  '10': 0.6394994762192603,\n",
       "  'emails': 0.6035392171627877,\n",
       "  'jobs': 0.3904457056329845},\n",
       " {'lost': 0.4023594781085251,\n",
       "  'keep': 0.4023594781085251,\n",
       "  'needed': 0.5178840082018492,\n",
       "  'back': 0.3180594021353184,\n",
       "  'sooooo': 0.5178840082018492,\n",
       "  'voice': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'mails': 0.5178840082018492,\n",
       "  'thanks': 0.32600191711901216,\n",
       "  'annoyed': 0.5178840082018492,\n",
       "  'lot': 0.4023594781085251,\n",
       "  'restore': 0.46012174315518717},\n",
       " {'update': 0.5959251281344888,\n",
       "  'stressing': 1.0357680164036984,\n",
       "  '#yosemite': 0.852665968292347,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'thisn': 1.0357680164036984,\n",
       "  '#macbookpro': 0.6082764568267758},\n",
       " {'together': 0.5168958195927945,\n",
       "  'shit': 0.4469438461008666,\n",
       "  'get': 0.3066759978410787,\n",
       "  'broke': 0.7768260123027739,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'charger': 0.6901826147327808,\n",
       "  'month': 0.6901826147327808,\n",
       "  '3rd': 0.7768260123027739},\n",
       " {'battery': 0.6520038342380243,\n",
       "  'claim': 0.9202434863103743,\n",
       "  'good': 0.6695639201809953,\n",
       "  'iphone': 0.48040059804116464,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  '6': 0.5540393900876711},\n",
       " {'@twtr': 0.4143072065614794,\n",
       "  'whether': 0.4143072065614794,\n",
       "  '3-6': 0.4143072065614794,\n",
       "  '@baba': 0.4143072065614794,\n",
       "  '@fb': 0.4143072065614794,\n",
       "  'monday': 0.36809739452414975,\n",
       "  '..': 0.3218875824868201,\n",
       "  '#nasdaq': 0.36809739452414975,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'see': 0.30701134573253946,\n",
       "  '@linkd': 0.4143072065614794,\n",
       "  'fall': 0.30701134573253946,\n",
       "  'follow': 0.36809739452414975,\n",
       "  'big': 0.30701134573253946,\n",
       "  'fell': 0.4143072065614794},\n",
       " {'#apple': 0.18188157667016408,\n",
       "  '#users': 0.47804677680170704,\n",
       "  'search': 0.34021912532262594,\n",
       "  '#december': 0.3283613807205292,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'change': 0.371408749023254,\n",
       "  'google': 0.371408749023254,\n",
       "  'choice': 0.47804677680170704,\n",
       "  '#monday': 0.47804677680170704,\n",
       "  '1': 0.30092484657139584,\n",
       "  '#iphone': 0.26477072124480083,\n",
       "  'face': 0.4247277629124805,\n",
       "  'big': 0.35424386046062245},\n",
       " {'@aydlettgwyn13': 0.7887801311231779,\n",
       "  'rt': 0.28501434189229785,\n",
       "  'please': 0.5907380795346223,\n",
       "  'educate': 0.7887801311231779,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  '@chanchan1717': 0.8878011569174559,\n",
       "  'us': 0.6098139927666969},\n",
       " {'take': 0.34021912532262594,\n",
       "  'like': 0.2476058326821693,\n",
       "  'money': 0.3283613807205292,\n",
       "  'look': 0.3935381392118525,\n",
       "  'updated': 0.3935381392118525,\n",
       "  'good': 0.3090295016219979,\n",
       "  '16gb': 0.4247277629124805,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'ram': 0.47804677680170704,\n",
       "  'dammit': 0.47804677680170704,\n",
       "  'shallow': 0.47804677680170704,\n",
       "  'guys': 0.47804677680170704,\n",
       "  \"gf's\": 0.47804677680170704},\n",
       " {'@iphone4': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'think': 0.6318355184563053,\n",
       "  'mean': 0.7887801311231779,\n",
       "  'oh': 0.8878011569174559,\n",
       "  'really': 0.5739119315837103,\n",
       "  'fair': 0.7887801311231779},\n",
       " {'twitter': 0.9210340371976184,\n",
       "  '#interestingfact': 1.1042921835724493,\n",
       "  '@apple': 0.090511343128403,\n",
       "  '#passingthetime': 1.1042921835724493,\n",
       "  '#whoknew': 1.1042921835724493},\n",
       " {'rt': 0.28501434189229785,\n",
       "  'twitter': 0.6578814551411559,\n",
       "  '#interestingfact': 0.7887801311231779,\n",
       "  '@jodispicer': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  '#passingthetime': 0.7887801311231779,\n",
       "  '#whoknew': 0.7887801311231779},\n",
       " {'#business': 0.38841300615138696,\n",
       "  'account': 0.38841300615138696,\n",
       "  'users': 0.5335872436708599,\n",
       "  '#sales': 0.38841300615138696,\n",
       "  '3x': 0.38841300615138696,\n",
       "  '#cybermonday': 0.28782313662425574,\n",
       "  'online': 0.28782313662425574,\n",
       "  '@apple': 0.028284794727625937,\n",
       "  '@android': 0.38841300615138696,\n",
       "  '6.6': 0.38841300615138696,\n",
       "  'sales': 0.27642803932463356,\n",
       "  'dominating': 0.38841300615138696,\n",
       "  'ios': 0.25844790979639726,\n",
       "  '21.6': 0.38841300615138696,\n",
       "  'ibm': 0.38841300615138696},\n",
       " {'ios': 0.2067583278371178,\n",
       "  'self': 0.3107304049211096,\n",
       "  'sentence': 0.3107304049211096,\n",
       "  'word': 0.2760730458931123,\n",
       "  'like': 0.16094379124341004,\n",
       "  'dont': 0.2557997904877041,\n",
       "  '@apple': 0.02262783578210075,\n",
       "  'wanna': 0.3107304049211096,\n",
       "  'tha': 0.3107304049211096,\n",
       "  'stupid': 0.2557997904877041,\n",
       "  'together': 0.2067583278371178,\n",
       "  'get': 0.12267039913643148,\n",
       "  'words': 0.2557997904877041,\n",
       "  'give': 0.2557997904877041,\n",
       "  '8': 0.2302585092994046,\n",
       "  'capitalizes': 0.3107304049211096,\n",
       "  'hate': 0.24141568686511508,\n",
       "  'random': 0.3107304049211096,\n",
       "  'ur': 0.2067583278371178,\n",
       "  'emphasis': 0.3107304049211096},\n",
       " {'rand': 0.3655651822601289,\n",
       "  'red': 0.2840184551354295,\n",
       "  'like': 0.18934563675695298,\n",
       "  'blue': 0.3655651822601289,\n",
       "  'also': 0.2601675664231845,\n",
       "  'everyone': 0.3655651822601289,\n",
       "  'clear': 0.30094092998553423,\n",
       "  '@apple': 0.026620983273059704,\n",
       "  \"i've\": 0.30094092998553423,\n",
       "  'paul': 0.3655651822601289,\n",
       "  'u': 0.19236288936798535,\n",
       "  'made': 0.30094092998553423,\n",
       "  'pigeonholed': 0.3655651822601289,\n",
       "  '@gr8american23': 0.3655651822601289,\n",
       "  '2016': 0.3655651822601289,\n",
       "  'cases': 0.3655651822601289,\n",
       "  'support': 0.3247918186977792},\n",
       " {'iphone': 0.5764807176493977,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'created': 1.1042921835724493,\n",
       "  '4': 0.8270333113484712,\n",
       "  'ever': 1.1042921835724493},\n",
       " {'hate': 1.6094379124341005,\n",
       "  '@apple': 0.1508522385473383,\n",
       "  'fucking': 1.3391278403619906},\n",
       " {'please': 0.689194426123726,\n",
       "  '#spreadsomejoy': 1.0357680164036984,\n",
       "  'new': 0.5364793041447,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'christmas': 0.9202434863103743,\n",
       "  'phone': 0.5450281865426252},\n",
       " {'pie': 1.5536520246055479,\n",
       "  'perfome': 1.5536520246055479,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  '..': 1.2070784343255754},\n",
       " {'#recent': 0.30176960858139384,\n",
       "  '10.49': 0.30176960858139384,\n",
       "  '#market': 0.28782313662425574,\n",
       "  '#gain': 0.30176960858139384,\n",
       "  '20': 0.28782313662425574,\n",
       "  'days': 0.25844790979639726,\n",
       "  '#forex': 0.28782313662425574,\n",
       "  '#stocks': 0.23854455160148882,\n",
       "  '#trading': 0.22810367131004095,\n",
       "  '#aapl': 0.06705903386997074,\n",
       "  '4': 0.25844790979639726,\n",
       "  '#exit': 0.30176960858139384,\n",
       "  'aapl': 0.14146027374004777,\n",
       "  'long': 0.28782313662425574,\n",
       "  'sold': 0.28782313662425574,\n",
       "  '#nasdaq100': 0.30176960858139384},\n",
       " {'tab': 1.0357680164036984,\n",
       "  'mega': 1.0357680164036984,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'launching': 1.0357680164036984,\n",
       "  'rumoured': 1.0357680164036984,\n",
       "  '#biggerisbetter': 1.0357680164036984},\n",
       " {'#recent': 0.24141568686511508,\n",
       "  '#gain': 0.24141568686511508,\n",
       "  '#forex': 0.2302585092994046,\n",
       "  '#aapl': 0.05364722709597659,\n",
       "  '4': 0.2067583278371178,\n",
       "  '#exit': 0.24141568686511508,\n",
       "  '10.49': 0.24141568686511508,\n",
       "  'days': 0.2067583278371178,\n",
       "  '#market': 0.2302585092994046,\n",
       "  'falke': 0.3107304049211096,\n",
       "  '#trading': 0.18248293704803276,\n",
       "  '...': 0.1203972804325936,\n",
       "  'long': 0.2302585092994046,\n",
       "  'rt': 0.09975501966230425,\n",
       "  '20': 0.2302585092994046,\n",
       "  'chayton': 0.3107304049211096,\n",
       "  'aapl': 0.11316821899203822,\n",
       "  'chaytonfalke': 0.3107304049211096,\n",
       "  'sold': 0.2302585092994046,\n",
       "  '#nasdaq100': 0.24141568686511508},\n",
       " {'inc': 0.3381394754365976,\n",
       "  'apple': 0.17259717286900522,\n",
       "  'pt': 0.48283137373023016,\n",
       "  'stanley': 0.48283137373023016,\n",
       "  'trims': 0.6214608098422192,\n",
       "  'upped': 0.6214608098422192,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'morgan': 0.48283137373023016,\n",
       "  'barclays': 0.6214608098422192,\n",
       "  'stake': 0.6214608098422192},\n",
       " {'like': 0.45983940355260006,\n",
       "  'money': 0.6098139927666969,\n",
       "  'let': 0.6578814551411559,\n",
       "  'costs': 0.8878011569174559,\n",
       "  'download': 0.7308565442505831,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'app': 0.6578814551411559},\n",
       " {'jim': 0.5019509925329315,\n",
       "  \"cramer's\": 0.5649643725838356,\n",
       "  'picks': 0.5649643725838356,\n",
       "  'sector': 0.41865183508982656,\n",
       "  'best': 0.41865183508982656,\n",
       "  'health': 0.5019509925329315,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  '4': 0.3759242324311233,\n",
       "  'care': 0.5019509925329315,\n",
       "  '...': 0.21890414624107926,\n",
       "  'stock': 0.3652166837350884},\n",
       " {'together': 0.3759242324311233,\n",
       "  'shit': 0.3250500698915394,\n",
       "  'losing': 0.5019509925329315,\n",
       "  'phones': 0.41865183508982656,\n",
       "  'keeps': 0.41865183508982656,\n",
       "  'get': 0.22303708933896632,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'percentage': 0.5019509925329315,\n",
       "  'hour': 0.5019509925329315,\n",
       "  'charging': 0.5019509925329315,\n",
       "  'ur': 0.3759242324311233},\n",
       " {'contra': 0.6578814551411559,\n",
       "  'en': 0.6578814551411559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'steve': 0.4398734117847203,\n",
       "  'juicio': 0.6578814551411559,\n",
       "  'clave': 0.6578814551411559,\n",
       "  'jobs': 0.44622366358055365},\n",
       " {'contra': 0.511685576220899,\n",
       "  'rt': 0.2216778214717872,\n",
       "  'juicio': 0.511685576220899,\n",
       "  'en': 0.511685576220899,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  '@elnuevoherald': 0.5364793041447001,\n",
       "  'steve': 0.3421237647214491,\n",
       "  'clave': 0.511685576220899,\n",
       "  'jobs': 0.34706284945154176},\n",
       " {'contra': 0.511685576220899,\n",
       "  'rt': 0.2216778214717872,\n",
       "  'juicio': 0.511685576220899,\n",
       "  'en': 0.511685576220899,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  '@elnuevoherald': 0.5364793041447001,\n",
       "  'steve': 0.3421237647214491,\n",
       "  'clave': 0.511685576220899,\n",
       "  'jobs': 0.34706284945154176},\n",
       " {'#stocks': 0.6361188042706368,\n",
       "  'myths': 1.0357680164036984,\n",
       "  'reality': 0.8047189562170503,\n",
       "  '#trading': 0.6082764568267758,\n",
       "  'full-time': 0.9202434863103743,\n",
       "  'vs': 0.9202434863103743},\n",
       " {'opened': 0.5178840082018492,\n",
       "  'laptop': 0.4023594781085251,\n",
       "  'blacked': 0.5178840082018492,\n",
       "  'days': 0.344597213061863,\n",
       "  'hire': 0.5178840082018492,\n",
       "  'completely': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'finally': 0.46012174315518717,\n",
       "  'dead': 0.46012174315518717,\n",
       "  '2': 0.27701969504383556,\n",
       "  'fixed': 0.4263329841461735,\n",
       "  'inside': 0.5178840082018492},\n",
       " {'even': 0.4742997721518754,\n",
       "  'get': 0.2726008869698477,\n",
       "  'tday': 0.6905120109357991,\n",
       "  '@baseballbridget': 0.6905120109357991,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'care': 0.6134956575402495,\n",
       "  '...': 0.26754951207243016,\n",
       "  '#appleemojissuck': 0.6905120109357991,\n",
       "  'turkey': 0.6905120109357991},\n",
       " {'contra': 0.511685576220899,\n",
       "  'rt': 0.2216778214717872,\n",
       "  'juicio': 0.511685576220899,\n",
       "  'en': 0.511685576220899,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  '@elnuevoherald': 0.5364793041447001,\n",
       "  'steve': 0.3421237647214491,\n",
       "  'clave': 0.511685576220899,\n",
       "  'jobs': 0.34706284945154176},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'together': 0.3180897351340274,\n",
       "  'shit': 0.27504236683130256,\n",
       "  '@toricolelli': 0.47804677680170704,\n",
       "  'losing': 0.4247277629124805,\n",
       "  'phones': 0.35424386046062245,\n",
       "  'keeps': 0.35424386046062245,\n",
       "  'get': 0.18872369097912536,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'percentage': 0.4247277629124805,\n",
       "  'hour': 0.4247277629124805,\n",
       "  'charging': 0.4247277629124805,\n",
       "  'ur': 0.3180897351340274},\n",
       " {'nasdaq': 0.46012174315518717,\n",
       "  'campaign': 1.0357680164036984,\n",
       "  '#apple': 0.39407674945202215,\n",
       "  'world': 0.344597213061863,\n",
       "  '#aapl': 0.17882409031992197,\n",
       "  'aids': 0.4023594781085251,\n",
       "  'day': 0.4023594781085251,\n",
       "  '...': 0.20066213405432265,\n",
       "  'participates': 0.5178840082018492},\n",
       " {'played': 2.071536032807397,\n",
       "  'well': 1.705331936584694,\n",
       "  '@apple': 0.1508522385473383},\n",
       " {'@apple': 0.2262783578210075, 'thank': 2.4141568686511508},\n",
       " {'fix': 2.1343489746834394, '@apple': 0.2262783578210075},\n",
       " {'rt': 0.4987750983115212,\n",
       "  '@_iamgambino': 1.5536520246055479,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  'thank': 1.2070784343255754},\n",
       " {'take': 0.6318355184563053,\n",
       "  'ship': 0.7887801311231779,\n",
       "  'smh': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'really': 0.5739119315837103,\n",
       "  'phone': 0.46716701703653585,\n",
       "  'long': 0.6578814551411559},\n",
       " {'reveal': 0.6901826147327808,\n",
       "  'unseen': 0.6394994762192603,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'lawsuit': 0.6035392171627877,\n",
       "  'video': 0.6035392171627877,\n",
       "  'steve': 0.3848892353116303,\n",
       "  '#ipod': 0.5335872436708599,\n",
       "  'jobs': 0.3904457056329845},\n",
       " {'rt': 0.1995100393246085,\n",
       "  'reveal': 0.5521460917862246,\n",
       "  'unseen': 0.5115995809754083,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'lawsuit': 0.48283137373023016,\n",
       "  '@smartoutsource1': 0.6214608098422192,\n",
       "  'video': 0.48283137373023016,\n",
       "  'steve': 0.30791138824930425,\n",
       "  '#ipod': 0.4268697949366879,\n",
       "  'jobs': 0.3123565645063876},\n",
       " {'lol': 1.8404869726207487,\n",
       "  'dying': 1.8404869726207487,\n",
       "  '@apple': 0.1508522385473383},\n",
       " {'competition': 0.7887801311231779,\n",
       "  '#gopro': 0.8878011569174559,\n",
       "  '#sne': 0.8878011569174559,\n",
       "  '2': 0.4748909057894324,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  '#gpro': 0.7887801311231779,\n",
       "  'part': 0.8878011569174559},\n",
       " {'gathering': 0.6905120109357991,\n",
       "  'iphone': 0.3202670653607764,\n",
       "  'kit': 0.6905120109357991,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'health': 0.6134956575402495,\n",
       "  'sigh': 0.6905120109357991,\n",
       "  '5': 0.4742997721518754,\n",
       "  'data': 0.5684439788615646,\n",
       "  'longer': 0.6134956575402495},\n",
       " {'trade': 0.46012174315518717,\n",
       "  '#free': 0.46012174315518717,\n",
       "  '#twitter': 0.46012174315518717,\n",
       "  'updates': 0.4263329841461735,\n",
       "  '#website': 0.46012174315518717,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'aapl': 0.1886136983200637,\n",
       "  'nightly': 0.46012174315518717,\n",
       "  '#posted': 0.46012174315518717,\n",
       "  'visit': 0.4263329841461735,\n",
       "  '#trade': 0.46012174315518717,\n",
       "  'free': 0.3180594021353184},\n",
       " {'fuck': 0.3896175441466646,\n",
       "  'another': 0.6134956575402495,\n",
       "  '...': 0.26754951207243016,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'changing': 0.5684439788615646,\n",
       "  'duck': 0.6905120109357991,\n",
       "  'thanks': 0.8693384456506991,\n",
       "  'yet': 0.5684439788615646},\n",
       " {'chuck': 0.38841300615138696,\n",
       "  'reuters': 0.38841300615138696,\n",
       "  'percent': 0.3450913073663904,\n",
       "  'apple': 0.10787323304312825,\n",
       "  '...': 0.150496600540742,\n",
       "  'much': 0.27642803932463356,\n",
       "  '@apple': 0.028284794727625937,\n",
       "  '6': 0.20776477128287668,\n",
       "  'news': 0.28782313662425574,\n",
       "  'mikolajczak': 0.38841300615138696,\n",
       "  'new': 0.20117973905426254,\n",
       "  'unusual': 0.3450913073663904,\n",
       "  'tumbles': 0.3450913073663904,\n",
       "  'york': 0.38841300615138696,\n",
       "  'yh': 0.38841300615138696,\n",
       "  'trading': 0.27642803932463356},\n",
       " {'@brwnskin_beauti': 1.5536520246055479,\n",
       "  'cause': 1.5536520246055479,\n",
       "  'fuck': 0.8766394743299954,\n",
       "  '@apple': 0.11313917891050375},\n",
       " {'rt': 0.2216778214717872,\n",
       "  'brass': 0.5364793041447001,\n",
       "  '#winterseve': 0.5364793041447001,\n",
       "  'band': 0.5364793041447001,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'broadway': 0.5364793041447001,\n",
       "  '@donacamp': 0.5364793041447001,\n",
       "  'store': 0.3972834187563259,\n",
       "  '#nyc': 0.5364793041447001},\n",
       " {'16': 1.5536520246055479,\n",
       "  \"gb's\": 0.7768260123027739,\n",
       "  'use': 0.5021729401357465,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'gb': 0.7768260123027739,\n",
       "  'buy': 0.4383197371649977,\n",
       "  'phone': 0.4087711399069689},\n",
       " {'fuck': 0.8766394743299954,\n",
       "  'breaking': 1.3803652294655615,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  'music': 1.1057121572985342},\n",
       " {'rt': 0.2216778214717872,\n",
       "  'brass': 0.5364793041447001,\n",
       "  '#winterseve': 0.5364793041447001,\n",
       "  'band': 0.5364793041447001,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'broadway': 0.5364793041447001,\n",
       "  '@donacamp': 0.5364793041447001,\n",
       "  'store': 0.3972834187563259,\n",
       "  '#nyc': 0.5364793041447001},\n",
       " {'inc': 0.5635657923943292,\n",
       "  '#apple': 0.39407674945202215,\n",
       "  'peaked': 0.852665968292347,\n",
       "  '#ipad': 0.6361188042706368,\n",
       "  'sales': 0.7371414381990228,\n",
       "  '#aapl': 0.17882409031992197},\n",
       " {'rt': 0.2216778214717872,\n",
       "  'brass': 0.5364793041447001,\n",
       "  '#winterseve': 0.5364793041447001,\n",
       "  'band': 0.5364793041447001,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'broadway': 0.5364793041447001,\n",
       "  '@donacamp': 0.5364793041447001,\n",
       "  'store': 0.3972834187563259,\n",
       "  '#nyc': 0.5364793041447001},\n",
       " {'#apple': 0.2364460496712133,\n",
       "  \"barclay's\": 0.6214608098422192,\n",
       "  'target': 0.39120230054281463,\n",
       "  'increases': 0.6214608098422192,\n",
       "  'analyst': 0.4135166556742356,\n",
       "  'joins': 0.6214608098422192,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'forbes': 0.48283137373023016,\n",
       "  'price': 0.3729701448634192,\n",
       "  'crowd': 0.6214608098422192},\n",
       " {'keep': 0.5364793041447001,\n",
       "  'come': 0.5684439788615646,\n",
       "  'need': 0.3972834187563259,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'charger': 0.6134956575402495,\n",
       "  'charge': 0.6905120109357991,\n",
       "  'cord': 0.6134956575402495,\n",
       "  'fall': 0.511685576220899,\n",
       "  'apart': 0.6905120109357991},\n",
       " {'rt': 0.28501434189229785,\n",
       "  'able': 0.7887801311231779,\n",
       "  'voicemail': 0.8878011569174559,\n",
       "  'forward': 0.8878011569174559,\n",
       "  '@amandazuckerman': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'thing': 0.8878011569174559},\n",
       " {'chose': 0.5178840082018492,\n",
       "  'added': 0.5178840082018492,\n",
       "  'book': 0.46012174315518717,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '#facebook': 0.5178840082018492,\n",
       "  'want': 0.4023594781085251,\n",
       "  'speak': 0.5178840082018492,\n",
       "  'contacts': 1.0357680164036984,\n",
       "  '@facebook': 0.46012174315518717,\n",
       "  '#thanks': 0.5178840082018492,\n",
       "  'humanity': 0.5178840082018492},\n",
       " {'everything': 1.3803652294655615,\n",
       "  'u': 0.8175422798139378,\n",
       "  'h8': 1.5536520246055479,\n",
       "  '@apple': 0.11313917891050375},\n",
       " {'disgrace': 2.071536032807397,\n",
       "  'ur': 1.378388852247452,\n",
       "  '@apple': 0.1508522385473383},\n",
       " {'pictures': 1.5536520246055479,\n",
       "  'back': 0.9541782064059553,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  'want': 1.2070784343255754},\n",
       " {'acid': 1.2429216196844384,\n",
       "  'fix': 0.8537395898733758,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'right': 0.8845697258388274,\n",
       "  'phone': 0.6540338238511503},\n",
       " {'warranty': 0.6905120109357991,\n",
       "  'fine': 0.5684439788615646,\n",
       "  'would': 0.4914276254660152,\n",
       "  'said': 0.5684439788615646,\n",
       "  'problem': 0.6134956575402495,\n",
       "  'replace': 0.511685576220899,\n",
       "  'power': 0.6905120109357991,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'cord': 0.6134956575402495},\n",
       " {'use': 0.3652166837350884,\n",
       "  'normal': 0.5649643725838356,\n",
       "  'replace': 0.41865183508982656,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'abuse': 0.5649643725838356,\n",
       "  'exactly': 0.5019509925329315,\n",
       "  'instructed': 0.5649643725838356,\n",
       "  'fire': 0.5019509925329315,\n",
       "  'hazard': 0.5649643725838356,\n",
       "  'wrapped': 0.5649643725838356,\n",
       "  '#defective': 0.5649643725838356},\n",
       " {'rt': 0.2216778214717872,\n",
       "  'brass': 0.5364793041447001,\n",
       "  '#winterseve': 0.5364793041447001,\n",
       "  'band': 0.5364793041447001,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'broadway': 0.5364793041447001,\n",
       "  '@donacamp': 0.5364793041447001,\n",
       "  'store': 0.3972834187563259,\n",
       "  '#nyc': 0.5364793041447001},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'century': 0.2476058326821693,\n",
       "  '18th': 0.2476058326821693,\n",
       "  'federal': 0.2476058326821693,\n",
       "  'get': 0.18872369097912536,\n",
       "  'iphones': 0.23685491403792633,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'cites': 0.2476058326821693,\n",
       "  'unlock': 0.24385274313067454,\n",
       "  'law': 0.2476058326821693,\n",
       "  'justice': 0.2476058326821693,\n",
       "  '@thehill': 0.23044094411953778,\n",
       "  'department': 0.2476058326821693},\n",
       " {'imessage': 0.9656627474604603,\n",
       "  'fix': 0.8537395898733758,\n",
       "  'yo': 1.1042921835724493,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'shitty': 1.1042921835724493},\n",
       " {'rt': 0.1995100393246085,\n",
       "  '@aboveavalon': 0.6214608098422192,\n",
       "  'benefited': 0.6214608098422192,\n",
       "  \"apple's\": 0.39120230054281463,\n",
       "  'billion': 0.48283137373023016,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'shareholders': 0.6214608098422192,\n",
       "  '80': 0.6214608098422192,\n",
       "  'share': 0.5521460917862246,\n",
       "  'repurchases': 0.6214608098422192},\n",
       " {'delayed': 0.5178840082018492,\n",
       "  'even': 0.35572482911390657,\n",
       "  'apple': 0.14383097739083767,\n",
       "  'target': 0.32600191711901216,\n",
       "  '165': 0.5178840082018492,\n",
       "  '#alex_cho': 0.5178840082018492,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'aapl': 0.1886136983200637,\n",
       "  'watch': 0.3685707190995114,\n",
       "  \"i'm\": 0.3685707190995114,\n",
       "  'price': 0.3108084540528493,\n",
       "  'raising': 0.5178840082018492},\n",
       " {'200': 0.4263329841461735,\n",
       "  'earned': 0.5178840082018492,\n",
       "  '#freemoney': 0.5178840082018492,\n",
       "  '#centsability': 0.5178840082018492,\n",
       "  '@airmiles': 0.5178840082018492,\n",
       "  '@chaptersindigo': 0.5178840082018492,\n",
       "  '#cybermonday': 0.3837641821656743,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'sale': 0.5178840082018492,\n",
       "  'miles': 0.5178840082018492,\n",
       "  '#blackfriday': 0.4263329841461735,\n",
       "  'love': 0.35572482911390657},\n",
       " {'shit': 0.6501001397830788,\n",
       "  'auto': 0.5649643725838356,\n",
       "  'gotta': 0.5649643725838356,\n",
       "  'stop': 0.46509052815946206,\n",
       "  'yo': 0.5019509925329315,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'changing': 0.46509052815946206,\n",
       "  'correct': 0.5019509925329315,\n",
       "  'right': 0.40207714810855794,\n",
       "  'send': 0.46509052815946206},\n",
       " {'wayne': 0.44390057845872793,\n",
       "  'reading': 0.39439006556158895,\n",
       "  'apple': 0.12328369490643228,\n",
       "  'tree': 0.44390057845872793,\n",
       "  'co-founder': 0.36542827212529155,\n",
       "  'book': 0.39439006556158895,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'first': 0.28695596579185517,\n",
       "  'logo': 0.36542827212529155,\n",
       "  'isaac': 0.44390057845872793,\n",
       "  'newton': 0.44390057845872793,\n",
       "  'designed': 0.44390057845872793,\n",
       "  'ronald': 0.44390057845872793,\n",
       "  'drawing': 0.44390057845872793},\n",
       " {'fuck': 0.7013115794639964,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'boys': 1.2429216196844384,\n",
       "  'slack': 1.2429216196844384,\n",
       "  'pick': 1.2429216196844384},\n",
       " {'function': 0.5649643725838356,\n",
       "  'firm': 0.5649643725838356,\n",
       "  'bloomberg': 0.5649643725838356,\n",
       "  'wish': 0.41865183508982656,\n",
       "  'search': 0.40207714810855794,\n",
       "  'acquired': 0.5649643725838356,\n",
       "  'terminal': 0.5649643725838356,\n",
       "  '#goog': 0.46509052815946206,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'service': 0.3759242324311233,\n",
       "  'yet': 0.46509052815946206},\n",
       " {'macbook': 0.3022033036841843,\n",
       "  'product': 0.5019509925329315,\n",
       "  'never': 0.46509052815946206,\n",
       "  'good': 0.3652166837350884,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'fact': 0.5649643725838356,\n",
       "  '...': 0.21890414624107926,\n",
       "  '@surface': 0.5649643725838356,\n",
       "  'air': 0.4389376124820274,\n",
       "  'better': 0.40207714810855794,\n",
       "  'maybe': 0.5649643725838356},\n",
       " {'faggots': 2.071536032807397,\n",
       "  '@apple': 0.1508522385473383,\n",
       "  'fucking': 1.3391278403619906},\n",
       " {'mother': 1.2429216196844384,\n",
       "  'course': 1.2429216196844384,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'fucking': 0.8034767042171945,\n",
       "  \"that's\": 1.2429216196844384},\n",
       " {'red': 0.48283137373023016,\n",
       "  'inc': 0.3381394754365976,\n",
       "  'apple': 0.17259717286900522,\n",
       "  'world': 0.4135166556742356,\n",
       "  'day': 0.48283137373023016,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'aids': 0.48283137373023016,\n",
       "  'store': 0.3575550768806933,\n",
       "  'logos': 0.6214608098422192,\n",
       "  'turn': 0.6214608098422192},\n",
       " {'fuck': 0.4383197371649977,\n",
       "  'kinda': 0.7768260123027739,\n",
       "  'shit': 0.4469438461008666,\n",
       "  'gay': 0.6901826147327808,\n",
       "  'print': 0.7768260123027739,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'fucking': 0.5021729401357465,\n",
       "  'ketosis': 0.7768260123027739},\n",
       " {'game': 0.3837641821656743,\n",
       "  'rt': 0.1662583661038404,\n",
       "  'bitches': 0.5178840082018492,\n",
       "  'gams': 0.5178840082018492,\n",
       "  'trying': 0.46012174315518717,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '@whosflyy__': 0.5178840082018492,\n",
       "  'night': 0.5178840082018492,\n",
       "  'gawd': 0.46012174315518717,\n",
       "  'really': 0.33478196009049765,\n",
       "  'tonight': 0.5178840082018492,\n",
       "  '@dremacsamillion': 0.5178840082018492},\n",
       " {'cook': 0.6905120109357991,\n",
       "  'comes': 0.6134956575402495,\n",
       "  'ceo': 0.6134956575402495,\n",
       "  'apple': 0.19177463652111687,\n",
       "  'gay': 0.6134956575402495,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'via': 0.3285012844889677,\n",
       "  '@posh360_net': 0.6905120109357991,\n",
       "  'tim': 0.6905120109357991},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'together': 0.3180897351340274,\n",
       "  'shit': 0.27504236683130256,\n",
       "  'need': 0.27504236683130256,\n",
       "  'let': 0.35424386046062245,\n",
       "  'get': 0.18872369097912536,\n",
       "  'youtube': 0.4247277629124805,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'fucking': 0.3090295016219979,\n",
       "  'u': 0.25155147071198086,\n",
       "  'txt': 0.4247277629124805,\n",
       "  '@bella_bong_': 0.47804677680170704,\n",
       "  'ur': 0.3180897351340274},\n",
       " {'version': 0.7768260123027739,\n",
       "  'actually': 0.3450913073663904,\n",
       "  'let': 0.28782313662425574,\n",
       "  'like': 0.20117973905426254,\n",
       "  '#starwars': 0.38841300615138696,\n",
       "  'star': 0.31974973810963014,\n",
       "  '@itunesmovies': 0.38841300615138696,\n",
       "  'wars': 0.38841300615138696,\n",
       "  '@apple': 0.028284794727625937,\n",
       "  \"can't\": 0.25108647006787327,\n",
       "  'buy': 0.21915986858249886,\n",
       "  '#stupid': 0.38841300615138696,\n",
       "  '#lame': 0.38841300615138696,\n",
       "  '@disney': 0.38841300615138696,\n",
       "  'alone': 0.38841300615138696},\n",
       " {'metal': 0.6905120109357991,\n",
       "  '#iphone6splus': 0.6905120109357991,\n",
       "  '#noticedsomecurve': 0.6905120109357991,\n",
       "  'shell': 0.6905120109357991,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'malleable': 0.6905120109357991,\n",
       "  '@tim_cook': 0.4742997721518754,\n",
       "  'perhaps': 0.6905120109357991,\n",
       "  'less': 0.6905120109357991},\n",
       " {'macbook': 0.25571048773277133,\n",
       "  'pro': 0.3090295016219979,\n",
       "  '13': 0.3935381392118525,\n",
       "  '@youtube': 0.2869001114333994,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'first': 0.3090295016219979,\n",
       "  '#hipster': 0.2869001114333994,\n",
       "  'via': 0.22742396618466998,\n",
       "  'startup': 0.34021912532262594,\n",
       "  '#startup': 0.2869001114333994,\n",
       "  '#macbook': 0.27504236683130256,\n",
       "  'non-retina': 0.3935381392118525,\n",
       "  '#macbookpro': 0.2807429800738966},\n",
       " {'macbook': 0.27701969504383556,\n",
       "  '13in': 0.4263329841461735,\n",
       "  'pro': 0.33478196009049765,\n",
       "  '@youtube': 0.3108084540528493,\n",
       "  '#unboxing': 0.3685707190995114,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '#hipster': 0.3108084540528493,\n",
       "  'via': 0.2463759633667258,\n",
       "  '#startup': 0.3108084540528493,\n",
       "  '#macbook': 0.2979625640672444,\n",
       "  'unboxing': 0.3685707190995114,\n",
       "  '#macbookpro': 0.3041382284133879},\n",
       " {'#ipadmini': 0.34021912532262594,\n",
       "  '@youtube': 0.2869001114333994,\n",
       "  '#ipad': 0.29359329427875547,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  '#unboxing': 0.34021912532262594,\n",
       "  'ipad': 0.27504236683130256,\n",
       "  'via': 0.22742396618466998,\n",
       "  '#hipster': 0.2869001114333994,\n",
       "  '#macbookpro': 0.2807429800738966,\n",
       "  '#startup': 0.2869001114333994,\n",
       "  '#macbook': 0.27504236683130256,\n",
       "  'unboxing': 0.34021912532262594,\n",
       "  'mini': 0.3180897351340274},\n",
       " {'#ipadmini': 0.2948565752796091,\n",
       "  '@youtube': 0.24864676324227944,\n",
       "  '#ipad': 0.25444752170825474,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'first': 0.26782556807239816,\n",
       "  'ipad': 0.23837005125379554,\n",
       "  'via': 0.19710077069338064,\n",
       "  '#hipster': 0.24864676324227944,\n",
       "  'time': 0.24864676324227944,\n",
       "  'startup': 0.2948565752796091,\n",
       "  '#macbookpro': 0.24331058273071035,\n",
       "  '#macbook': 0.23837005125379554,\n",
       "  '#startup': 0.24864676324227944,\n",
       "  '#unbox': 0.34106638731693883,\n",
       "  'mini': 0.2756777704494904},\n",
       " {'doe': 1.5536520246055479,\n",
       "  'ipod': 1.1057121572985342,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  '6': 0.8310590851315067},\n",
       " {'apps': 0.6098139927666969,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'ios': 0.5907380795346223,\n",
       "  'audio': 0.8878011569174559,\n",
       "  'requirement': 0.8878011569174559,\n",
       "  'drop': 0.558860429346878,\n",
       "  'rendition': 0.8878011569174559},\n",
       " {'thankful': 0.4143072065614794,\n",
       "  'os': 0.34106638731693883,\n",
       "  'happy': 0.36809739452414975,\n",
       "  'vault': 0.4143072065614794,\n",
       "  'camp': 0.4143072065614794,\n",
       "  '@lenovo': 0.4143072065614794,\n",
       "  'yosemite': 0.3218875824868201,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'none': 0.4143072065614794,\n",
       "  'x': 0.36809739452414975,\n",
       "  '2': 0.22161575603506845,\n",
       "  'right': 0.2948565752796091,\n",
       "  'mac': 0.2948565752796091,\n",
       "  'boot': 0.4143072065614794,\n",
       "  'file': 0.4143072065614794},\n",
       " {'#emerge': 0.6214608098422192,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  '#tuesday': 0.4422848629194137,\n",
       "  '#december': 0.4268697949366879,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  '2': 0.3324236340526027,\n",
       "  '#iphone6s': 0.5521460917862246,\n",
       "  'watch': 0.4422848629194137,\n",
       "  '2015': 0.5115995809754083,\n",
       "  'spring': 0.6214608098422192},\n",
       " {'apps': 1.4228993164556263,\n",
       "  '@apple': 0.1508522385473383,\n",
       "  '#ipodtouch5thgen': 1.8404869726207487},\n",
       " {'tapatio': 1.5536520246055479,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  'demand': 1.1057121572985342,\n",
       "  'emoji': 1.2789989524385206},\n",
       " {'apps': 1.4228993164556263,\n",
       "  '@apple': 0.1508522385473383,\n",
       "  '#ipodtouch5thgen': 1.8404869726207487},\n",
       " {'#aapl': 1.0729445419195318},\n",
       " {'#iwantjobsback': 0.6214608098422192,\n",
       "  'edits': 0.6214608098422192,\n",
       "  'second': 0.5115995809754083,\n",
       "  '#pages': 0.6214608098422192,\n",
       "  'time': 0.3729701448634192,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  '700bn': 0.6214608098422192,\n",
       "  '#fail': 0.5521460917862246,\n",
       "  '#amateurs': 0.6214608098422192,\n",
       "  'ate': 0.6214608098422192},\n",
       " {'lost': 0.48283137373023016,\n",
       "  '#brokenchargerprobs': 0.6214608098422192,\n",
       "  'horrendous': 0.6214608098422192,\n",
       "  'iphone': 0.28824035882469884,\n",
       "  '5': 0.4268697949366879,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'feel': 0.5115995809754083,\n",
       "  ':(': 0.6214608098422192,\n",
       "  'phone': 0.32701691192557514,\n",
       "  'chargers': 0.5521460917862246},\n",
       " {'apple': 0.2157464660862565,\n",
       "  'music': 0.5528560786492671,\n",
       "  'claims': 0.6394994762192603,\n",
       "  'trial': 0.43025242202280134,\n",
       "  'heads': 0.5756462732485115,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'digital': 0.6394994762192603,\n",
       "  '...': 0.300993201081484},\n",
       " {'s3': 0.5178840082018492,\n",
       "  'wonder': 0.46012174315518717,\n",
       "  'excellent': 0.46012174315518717,\n",
       "  'yosemite': 0.4023594781085251,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '@netflix': 0.4263329841461735,\n",
       "  'news': 0.3837641821656743,\n",
       "  'wks': 0.5178840082018492,\n",
       "  '@tim_cook': 0.35572482911390657,\n",
       "  'wifi': 0.4263329841461735,\n",
       "  '#houseofcards': 0.5178840082018492,\n",
       "  'talking': 0.5178840082018492},\n",
       " {'laptop': 0.8047189562170503,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'burning': 1.0357680164036984,\n",
       "  'u': 0.5450281865426252,\n",
       "  'legs': 1.0357680164036984,\n",
       "  'say': 0.8047189562170503},\n",
       " {'gets': 0.3880634499424435,\n",
       "  'great': 0.46509052815946206,\n",
       "  'hope': 0.5019509925329315,\n",
       "  '@benh4ll': 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  '@netflix': 0.46509052815946206,\n",
       "  'news': 0.41865183508982656,\n",
       "  'sorted': 0.5649643725838356,\n",
       "  'though': 0.5649643725838356,\n",
       "  '@tim_cook': 0.3880634499424435,\n",
       "  'wifi': 0.46509052815946206},\n",
       " {'ceo': 0.5521460917862246,\n",
       "  '46': 0.6214608098422192,\n",
       "  'life': 0.5521460917862246,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'seconds': 0.6214608098422192,\n",
       "  '#motivation': 0.6214608098422192,\n",
       "  'late': 0.4605170185988092,\n",
       "  'steve': 0.30791138824930425,\n",
       "  'secret': 0.6214608098422192,\n",
       "  'jobs': 0.3123565645063876},\n",
       " {'#apple': 0.33778007095887613,\n",
       "  '#stevejobs': 0.5739119315837103,\n",
       "  '#tech30': 0.8878011569174559,\n",
       "  'best': 0.6578814551411559,\n",
       "  'via': 0.42235879434295853,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  '10': 0.7308565442505831},\n",
       " {'@hammerarcade': 0.8878011569174559,\n",
       "  'rood': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'sad': 0.8878011569174559,\n",
       "  'makes': 0.7887801311231779,\n",
       "  'feel': 0.7308565442505831,\n",
       "  'u': 0.46716701703653585},\n",
       " {'good': 0.4463759467873302,\n",
       "  'hate': 0.5364793041447001,\n",
       "  'bad': 0.6905120109357991,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'think': 0.4914276254660152,\n",
       "  'world': 0.45946295074915067,\n",
       "  'idea': 0.6905120109357991,\n",
       "  'earphones': 0.6905120109357991,\n",
       "  'p': 0.6905120109357991},\n",
       " {'@quentinnield': 0.8878011569174559,\n",
       "  'need': 0.5107929669724189,\n",
       "  'apple': 0.24656738981286455,\n",
       "  'reinstall': 0.7887801311231779,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'ipad': 0.5107929669724189,\n",
       "  '2': 0.4748909057894324},\n",
       " {'salut': 1.5536520246055479,\n",
       "  'photo': 1.3803652294655615,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  '@kcdenton': 1.5536520246055479},\n",
       " {'macbook': 0.25571048773277133,\n",
       "  'pro': 0.3090295016219979,\n",
       "  '13': 0.3935381392118525,\n",
       "  '@youtube': 0.2869001114333994,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'first': 0.3090295016219979,\n",
       "  '#hipster': 0.2869001114333994,\n",
       "  'via': 0.22742396618466998,\n",
       "  'startup': 0.34021912532262594,\n",
       "  '#startup': 0.2869001114333994,\n",
       "  '#macbook': 0.27504236683130256,\n",
       "  'non-retina': 0.3935381392118525,\n",
       "  '#macbookpro': 0.2807429800738966},\n",
       " {'macbook': 0.27701969504383556,\n",
       "  '13in': 0.4263329841461735,\n",
       "  'pro': 0.33478196009049765,\n",
       "  '@youtube': 0.3108084540528493,\n",
       "  '#unboxing': 0.3685707190995114,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '#hipster': 0.3108084540528493,\n",
       "  'via': 0.2463759633667258,\n",
       "  '#startup': 0.3108084540528493,\n",
       "  '#macbook': 0.2979625640672444,\n",
       "  'unboxing': 0.3685707190995114,\n",
       "  '#macbookpro': 0.3041382284133879},\n",
       " {'#ipadmini': 0.34021912532262594,\n",
       "  '@youtube': 0.2869001114333994,\n",
       "  '#ipad': 0.29359329427875547,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  '#unboxing': 0.34021912532262594,\n",
       "  'ipad': 0.27504236683130256,\n",
       "  'via': 0.22742396618466998,\n",
       "  '#hipster': 0.2869001114333994,\n",
       "  '#macbookpro': 0.2807429800738966,\n",
       "  '#startup': 0.2869001114333994,\n",
       "  '#macbook': 0.27504236683130256,\n",
       "  'unboxing': 0.34021912532262594,\n",
       "  'mini': 0.3180897351340274},\n",
       " {'#ipadmini': 0.2948565752796091,\n",
       "  '@youtube': 0.24864676324227944,\n",
       "  '#ipad': 0.25444752170825474,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'first': 0.26782556807239816,\n",
       "  'ipad': 0.23837005125379554,\n",
       "  'via': 0.19710077069338064,\n",
       "  '#hipster': 0.24864676324227944,\n",
       "  'time': 0.24864676324227944,\n",
       "  'startup': 0.2948565752796091,\n",
       "  '#macbookpro': 0.24331058273071035,\n",
       "  '#macbook': 0.23837005125379554,\n",
       "  '#startup': 0.24864676324227944,\n",
       "  '#unbox': 0.34106638731693883,\n",
       "  'mini': 0.2756777704494904},\n",
       " {'@shortcutlabs': 0.4143072065614794,\n",
       "  'hub': 0.4143072065614794,\n",
       "  'beat': 0.34106638731693883,\n",
       "  'protocol': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  '#wifi': 0.4143072065614794,\n",
       "  'home': 0.4143072065614794,\n",
       "  'automation': 0.4143072065614794,\n",
       "  '#flic': 0.4143072065614794,\n",
       "  'wireless': 0.36809739452414975,\n",
       "  'become': 0.4143072065614794,\n",
       "  '#bluetooth': 0.4143072065614794,\n",
       "  'tablet': 0.3218875824868201,\n",
       "  'smartphone': 0.4143072065614794,\n",
       "  '#homekit': 0.4143072065614794},\n",
       " {'#premarket': 0.39439006556158895,\n",
       "  'events': 0.44390057845872793,\n",
       "  'options': 0.44390057845872793,\n",
       "  '#wmt': 0.44390057845872793,\n",
       "  'outlook': 0.44390057845872793,\n",
       "  '#goog': 0.36542827212529155,\n",
       "  'heavy': 0.44390057845872793,\n",
       "  'week': 0.44390057845872793,\n",
       "  '#markets': 0.39439006556158895,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  '#googl': 0.44390057845872793,\n",
       "  'economic': 0.39439006556158895,\n",
       "  'amid': 0.31591775922815263,\n",
       "  '#tsla': 0.44390057845872793},\n",
       " {'fuck': 0.7013115794639964,\n",
       "  'fast': 1.1042921835724493,\n",
       "  'dying': 1.1042921835724493,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'phone': 0.6540338238511503},\n",
       " {'@remuuusss': 2.071536032807397,\n",
       "  'fix': 1.4228993164556263,\n",
       "  '@apple': 0.1508522385473383},\n",
       " {'take': 0.31591775922815263,\n",
       "  'others': 0.39439006556158895,\n",
       "  \"i'll\": 0.39439006556158895,\n",
       "  'anymr': 0.44390057845872793,\n",
       "  'need': 0.25539648348620947,\n",
       "  'said': 0.36542827212529155,\n",
       "  'still': 0.28695596579185517,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  \"can't\": 0.28695596579185517,\n",
       "  '@cisco': 0.39439006556158895,\n",
       "  'politics': 0.44390057845872793,\n",
       "  'change': 0.3448795526644501,\n",
       "  'talk': 0.36542827212529155,\n",
       "  'post': 0.36542827212529155},\n",
       " {'holy': 1.2429216196844384,\n",
       "  'shit': 0.7151101537613866,\n",
       "  'missed': 1.2429216196844384,\n",
       "  'obama': 1.2429216196844384,\n",
       "  'time': 0.7459402897268383},\n",
       " {'macbook': 0.1955433141485898,\n",
       "  'pro': 0.23631667771093953,\n",
       "  '#apple': 0.13908591157130193,\n",
       "  'use': 0.23631667771093953,\n",
       "  'keyboard': 0.3655651822601289,\n",
       "  'thank': 0.2840184551354295,\n",
       "  '#macbook': 0.21032651581217252,\n",
       "  'much': 0.2601675664231845,\n",
       "  '@apple': 0.026620983273059704,\n",
       "  'anybody': 0.3655651822601289,\n",
       "  '#keyboard': 0.3655651822601289,\n",
       "  '#pro': 0.3655651822601289,\n",
       "  'knows': 0.3247918186977792,\n",
       "  '£': 0.2601675664231845,\n",
       "  'â': 0.2601675664231845,\n",
       "  'us': 0.2510998793745223,\n",
       "  'retina': 0.30094092998553423},\n",
       " {'computer': 0.3247918186977792,\n",
       "  'yesterday': 0.24324509157307977,\n",
       "  'trades': 0.3655651822601289,\n",
       "  'algorithmic': 0.3247918186977792,\n",
       "  \"apple's\": 0.2301190003193027,\n",
       "  'rapid': 0.3655651822601289,\n",
       "  'wiped': 0.3655651822601289,\n",
       "  'best': 0.27089236388165244,\n",
       "  'trading': 0.2601675664231845,\n",
       "  'automatic': 0.3655651822601289,\n",
       "  '#aapl': 0.06311438481879598,\n",
       "  'decline': 0.3655651822601289,\n",
       "  '40bn': 0.3655651822601289,\n",
       "  'behind': 0.3247918186977792,\n",
       "  'guest': 0.3655651822601289,\n",
       "  'price': 0.2193942028608348,\n",
       "  'stock': 0.23631667771093953},\n",
       " {'w': 0.6214608098422192,\n",
       "  'awarded': 0.6214608098422192,\n",
       "  '#displays': 0.6214608098422192,\n",
       "  '#patent': 0.5521460917862246,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  '#augmented': 0.6214608098422192,\n",
       "  'reality': 0.48283137373023016,\n",
       "  '4': 0.4135166556742356,\n",
       "  '#transparent': 0.6214608098422192,\n",
       "  'devices': 0.6214608098422192},\n",
       " {'#apple': 0.13908591157130193,\n",
       "  '@iphone': 0.3247918186977792,\n",
       "  '#iphone4problems': 0.3655651822601289,\n",
       "  'apple': 0.10152774874647365,\n",
       "  'someone': 0.7311303645202578,\n",
       "  'works': 0.3655651822601289,\n",
       "  '@apple': 0.026620983273059704,\n",
       "  'fucking': 0.47263335542187906,\n",
       "  'help': 0.7311303645202578,\n",
       "  '#iphone4s': 0.3655651822601289,\n",
       "  'cunts': 0.3655651822601289,\n",
       "  '#iphone': 0.20247172801073005,\n",
       "  'ur': 0.24324509157307977,\n",
       "  'job': 0.3247918186977792},\n",
       " {'used': 0.5684439788615646,\n",
       "  'easier': 0.6905120109357991,\n",
       "  'icloud': 0.6134956575402495,\n",
       "  'synching': 0.6905120109357991,\n",
       "  'notes': 0.5684439788615646,\n",
       "  'pages': 0.6905120109357991,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'wtf': 0.5684439788615646,\n",
       "  'unusable': 0.6905120109357991},\n",
       " {'#recent': 0.30176960858139384,\n",
       "  '10.49': 0.30176960858139384,\n",
       "  '#market': 0.28782313662425574,\n",
       "  '#gain': 0.30176960858139384,\n",
       "  '20': 0.28782313662425574,\n",
       "  'days': 0.25844790979639726,\n",
       "  '#forex': 0.28782313662425574,\n",
       "  '#stocks': 0.23854455160148882,\n",
       "  '#trading': 0.22810367131004095,\n",
       "  '#aapl': 0.06705903386997074,\n",
       "  '4': 0.25844790979639726,\n",
       "  '#exit': 0.30176960858139384,\n",
       "  'aapl': 0.14146027374004777,\n",
       "  'long': 0.28782313662425574,\n",
       "  'sold': 0.28782313662425574,\n",
       "  '#nasdaq100': 0.30176960858139384},\n",
       " {'fuck': 0.584426316219997,\n",
       "  'let': 0.7675283643313486,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'change': 0.8047189562170503,\n",
       "  'stores': 0.9202434863103743,\n",
       "  'hey': 0.8047189562170503},\n",
       " {'huge': 0.5115995809754083,\n",
       "  'fuck': 0.3506557897319982,\n",
       "  'letting': 0.6214608098422192,\n",
       "  'laptop': 0.48283137373023016,\n",
       "  'get': 0.24534079827286295,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'reservations': 0.6214608098422192,\n",
       "  'fixed': 0.5115995809754083,\n",
       "  'write': 0.6214608098422192,\n",
       "  'make': 0.4135166556742356},\n",
       " {'percent': 0.6134956575402495,\n",
       "  'apple': 0.19177463652111687,\n",
       "  'much': 0.4914276254660152,\n",
       "  '6': 0.36935959339178076,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'aapl': 0.25148493109341824,\n",
       "  'unusual': 0.6134956575402495,\n",
       "  'tumbles': 0.6134956575402495,\n",
       "  'trading': 0.4914276254660152},\n",
       " {'@angusdick': 0.5178840082018492,\n",
       "  'issue': 0.4263329841461735,\n",
       "  'battery': 0.32600191711901216,\n",
       "  'took': 0.5178840082018492,\n",
       "  'fine': 0.4263329841461735,\n",
       "  'ended': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'yes': 0.4263329841461735,\n",
       "  'trackpad': 0.46012174315518717,\n",
       "  'exact': 0.5178840082018492,\n",
       "  'free': 0.3180594021353184,\n",
       "  'replacement': 0.5178840082018492},\n",
       " {'@apple': 0.056569589455251874,\n",
       "  '@jimcramer': 0.6901826147327808,\n",
       "  'big': 0.5756462732485115,\n",
       "  'says': 0.6394994762192603,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  'caused': 0.6901826147327808,\n",
       "  'drop': 0.48900287567851825,\n",
       "  'machines': 0.7768260123027739},\n",
       " {'battery': 0.32600191711901216,\n",
       "  'fine': 0.4263329841461735,\n",
       "  'holdings': 0.5178840082018492,\n",
       "  'yeah': 0.46012174315518717,\n",
       "  'get': 0.20445066522738578,\n",
       "  'working': 0.4263329841461735,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'trackpad': 0.46012174315518717,\n",
       "  '@maxscottslade': 0.5178840082018492,\n",
       "  'damage': 0.5178840082018492,\n",
       "  'screw': 0.5178840082018492,\n",
       "  'one': 0.33478196009049765},\n",
       " {'macbook': 0.2374454528947162,\n",
       "  'inch': 0.39439006556158895,\n",
       "  'next': 0.3448795526644501,\n",
       "  'plus': 0.36542827212529155,\n",
       "  'shows': 0.39439006556158895,\n",
       "  '12.2-': 0.44390057845872793,\n",
       "  'size': 0.44390057845872793,\n",
       "  'iphones': 0.21993670589236014,\n",
       "  'ipad': 0.25539648348620947,\n",
       "  'mockup': 0.44390057845872793,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'video': 0.3448795526644501,\n",
       "  'ipads': 0.36542827212529155,\n",
       "  'air': 0.3448795526644501},\n",
       " {'contra': 0.511685576220899,\n",
       "  'rt': 0.2216778214717872,\n",
       "  'juicio': 0.511685576220899,\n",
       "  'en': 0.511685576220899,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  '@elnuevoherald': 0.5364793041447001,\n",
       "  'steve': 0.3421237647214491,\n",
       "  'clave': 0.511685576220899,\n",
       "  'jobs': 0.34706284945154176},\n",
       " {'updating': 0.47804677680170704,\n",
       "  'memory': 0.4247277629124805,\n",
       "  'since': 0.4247277629124805,\n",
       "  '#ipad': 0.29359329427875547,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'videos': 0.47804677680170704,\n",
       "  'forcing': 0.47804677680170704,\n",
       "  '#bug': 0.4247277629124805,\n",
       "  '#os': 0.47804677680170704,\n",
       "  'free': 0.29359329427875547,\n",
       "  'delete': 0.47804677680170704,\n",
       "  '...': 0.18522658528091324,\n",
       "  '#fail': 0.4247277629124805},\n",
       " {'december': 0.371408749023254,\n",
       "  'retail': 0.47804677680170704,\n",
       "  'apple': 0.13276705605308092,\n",
       "  'new': 0.2476058326821693,\n",
       "  'ohio': 0.47804677680170704,\n",
       "  '6': 0.25571048773277133,\n",
       "  'blog': 0.35424386046062245,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  'opening': 0.47804677680170704,\n",
       "  'store': 0.27504236683130256,\n",
       "  'saturday': 0.47804677680170704,\n",
       "  'toledo': 0.47804677680170704,\n",
       "  'mac': 0.34021912532262594},\n",
       " {'apple': 0.2157464660862565,\n",
       "  'sector': 0.5756462732485115,\n",
       "  'tech': 0.6035392171627877,\n",
       "  'negative': 0.7768260123027739,\n",
       "  'stanley': 0.6035392171627877,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  'morgan': 0.6035392171627877},\n",
       " {'apple': 0.2157464660862565,\n",
       "  'sector': 0.5756462732485115,\n",
       "  'key': 0.6394994762192603,\n",
       "  'google': 0.6035392171627877,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  'beating': 0.6394994762192603,\n",
       "  'one': 0.5021729401357465},\n",
       " {'used': 0.5684439788615646,\n",
       "  'music': 0.4914276254660152,\n",
       "  'news': 0.511685576220899,\n",
       "  'trial': 0.38244659735360115,\n",
       "  'evidence': 0.6905120109357991,\n",
       "  'late': 0.511685576220899,\n",
       "  'steve': 0.3421237647214491,\n",
       "  'bbc': 0.6905120109357991,\n",
       "  'jobs': 0.34706284945154176},\n",
       " {'fuck': 0.4383197371649977,\n",
       "  'ringer': 0.7768260123027739,\n",
       "  'work': 0.6035392171627877,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'refused': 0.7768260123027739,\n",
       "  'alarm': 0.7768260123027739,\n",
       "  'set': 0.6394994762192603,\n",
       "  'u': 0.4087711399069689},\n",
       " {'n': 0.4143072065614794,\n",
       "  'race': 0.4143072065614794,\n",
       "  '#payments': 0.4143072065614794,\n",
       "  'win': 0.36809739452414975,\n",
       "  'future': 0.4143072065614794,\n",
       "  '@fintechhub': 0.4143072065614794,\n",
       "  'payments': 0.4143072065614794,\n",
       "  '@google': 0.2948565752796091,\n",
       "  '@microsave': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  \"what's\": 0.36809739452414975,\n",
       "  'start-ups': 0.4143072065614794,\n",
       "  '@facebook': 0.36809739452414975,\n",
       "  '@alibabatalk': 0.4143072065614794,\n",
       "  '@twitter': 0.4143072065614794},\n",
       " {'lost': 0.371408749023254,\n",
       "  'come': 0.3935381392118525,\n",
       "  'suppose': 0.47804677680170704,\n",
       "  'huntin': 0.47804677680170704,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'season': 0.47804677680170704,\n",
       "  'friendz': 0.47804677680170704,\n",
       "  'emoji': 0.3935381392118525,\n",
       "  \"i'm\": 0.34021912532262594,\n",
       "  'deer': 0.9560935536034141,\n",
       "  'love': 0.3283613807205292,\n",
       "  'show': 0.3935381392118525},\n",
       " {'#engagement': 0.5649643725838356,\n",
       "  'utilizing': 0.5649643725838356,\n",
       "  '@neimanmarcus': 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'passbook': 0.5649643725838356,\n",
       "  '#personalization': 0.5649643725838356,\n",
       "  'via': 0.26877377821824633,\n",
       "  '@pymnts': 0.5649643725838356,\n",
       "  'send': 0.46509052815946206,\n",
       "  'ibeacons': 0.5649643725838356,\n",
       "  'messages': 0.5649643725838356},\n",
       " {'#stevejobs': 0.40173835210859726,\n",
       "  'unseen': 0.5115995809754083,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'deposition': 0.6214608098422192,\n",
       "  'trial': 0.3442019376182411,\n",
       "  'news': 0.4605170185988092,\n",
       "  'feature': 0.6214608098422192,\n",
       "  'video': 0.48283137373023016,\n",
       "  'late': 0.4605170185988092,\n",
       "  'technology': 0.4605170185988092},\n",
       " {'issue': 0.3935381392118525,\n",
       "  'folder': 0.47804677680170704,\n",
       "  'images': 0.47804677680170704,\n",
       "  '#ipad': 0.29359329427875547,\n",
       "  '#memory': 0.47804677680170704,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'new': 0.2476058326821693,\n",
       "  '#bug': 0.4247277629124805,\n",
       "  'figured': 0.47804677680170704,\n",
       "  'wasnt': 0.47804677680170704,\n",
       "  'hidden': 0.47804677680170704,\n",
       "  '...': 0.18522658528091324,\n",
       "  'stores': 0.4247277629124805},\n",
       " {'1215': 0.6214608098422192,\n",
       "  'experience': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'room': 0.5115995809754083,\n",
       "  'dep': 0.6214608098422192,\n",
       "  '3:15': 0.6214608098422192,\n",
       "  'today': 0.39120230054281463,\n",
       "  'presenting': 0.6214608098422192,\n",
       "  '@jamfsoftware': 0.6214608098422192,\n",
       "  '#herewegolakers': 0.6214608098422192},\n",
       " {'apple': 0.17259717286900522,\n",
       "  'reiterates': 0.5115995809754083,\n",
       "  ':p': 0.6214608098422192,\n",
       "  \"crest's\": 0.5115995809754083,\n",
       "  'selling': 0.5115995809754083,\n",
       "  'analyst': 0.4135166556742356,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  '...': 0.2407945608651872,\n",
       "  'shares': 0.5115995809754083,\n",
       "  'acific': 0.6214608098422192},\n",
       " {'reiterates': 0.5684439788615646,\n",
       "  'apple': 0.19177463652111687,\n",
       "  \"crest's\": 0.5684439788615646,\n",
       "  'selling': 0.5684439788615646,\n",
       "  'analyst': 0.45946295074915067,\n",
       "  'pacific': 0.6134956575402495,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'aapl': 0.25148493109341824,\n",
       "  'shares': 0.5684439788615646},\n",
       " {'competition': 0.39439006556158895,\n",
       "  '#applelawsuit': 0.44390057845872793,\n",
       "  'depends': 0.44390057845872793,\n",
       "  'beat': 0.36542827212529155,\n",
       "  'back': 0.2726223446874158,\n",
       "  'game': 0.32894072757057796,\n",
       "  'competitive': 0.44390057845872793,\n",
       "  'tactics': 0.44390057845872793,\n",
       "  'unfair': 0.44390057845872793,\n",
       "  '1s': 0.44390057845872793,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'exactly': 0.39439006556158895,\n",
       "  'hold': 0.39439006556158895,\n",
       "  'fair': 0.39439006556158895},\n",
       " {'#aapl': 1.0729445419195318},\n",
       " {'135.00': 0.5115995809754083,\n",
       "  'pt': 0.48283137373023016,\n",
       "  \"apple's\": 0.39120230054281463,\n",
       "  'rating': 0.5115995809754083,\n",
       "  'buy': 0.3506557897319982,\n",
       "  'genuity': 0.4605170185988092,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'aapl': 0.22633643798407643,\n",
       "  'canaccord': 0.4268697949366879,\n",
       "  'raised': 0.48283137373023016},\n",
       " {'135.00': 0.5115995809754083,\n",
       "  'pt': 0.48283137373023016,\n",
       "  \"apple's\": 0.39120230054281463,\n",
       "  'rating': 0.5115995809754083,\n",
       "  'buy': 0.3506557897319982,\n",
       "  'genuity': 0.4605170185988092,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'aapl': 0.22633643798407643,\n",
       "  'canaccord': 0.4268697949366879,\n",
       "  'raised': 0.48283137373023016},\n",
       " {'fix': 0.30490699638334845,\n",
       "  'shit': 0.25539648348620947,\n",
       "  'issues': 0.39439006556158895,\n",
       "  'iphone': 0.20588597058907057,\n",
       "  'working': 0.36542827212529155,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  '6': 0.2374454528947162,\n",
       "  'plug': 0.44390057845872793,\n",
       "  'tf': 0.44390057845872793,\n",
       "  'many': 0.36542827212529155,\n",
       "  'u': 0.23358350851826792,\n",
       "  'free': 0.2726223446874158,\n",
       "  'earphone': 0.44390057845872793,\n",
       "  'better': 0.31591775922815263},\n",
       " {'apple': 0.19177463652111687,\n",
       "  'lesson': 0.6905120109357991,\n",
       "  'teach': 0.6905120109357991,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'aapl': 0.25148493109341824,\n",
       "  'chromebooks': 0.6134956575402495,\n",
       "  'cheap': 0.6905120109357991,\n",
       "  'price': 0.4144112720704657,\n",
       "  'matters': 0.6905120109357991},\n",
       " {'teams': 0.4143072065614794,\n",
       "  'thanks': 0.26080153369520975,\n",
       "  'get': 0.16356053218190864,\n",
       "  '@d1pz': 0.4143072065614794,\n",
       "  'trying': 0.36809739452414975,\n",
       "  '@mcmillanstu': 0.4143072065614794,\n",
       "  'telco': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'marketing': 0.4143072065614794,\n",
       "  'nightmare': 0.4143072065614794,\n",
       "  'info': 0.36809739452414975,\n",
       "  'time': 0.24864676324227944,\n",
       "  'launch': 0.34106638731693883,\n",
       "  '...': 0.1605297072434581,\n",
       "  'ahead': 0.4143072065614794},\n",
       " {'#nem': 0.5649643725838356,\n",
       "  \"benzinga's\": 0.5649643725838356,\n",
       "  '#premarket': 1.003901985065863,\n",
       "  '#gold': 0.5649643725838356,\n",
       "  '#nvax': 0.5649643725838356,\n",
       "  'losers': 0.5649643725838356,\n",
       "  '#markets': 0.5019509925329315,\n",
       "  'top': 0.46509052815946206,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  '#news': 0.5019509925329315},\n",
       " {'battery': 0.6520038342380243,\n",
       "  'sucks': 0.852665968292347,\n",
       "  'dear': 0.7675283643313486,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'replace': 0.7675283643313486,\n",
       "  'phone': 0.5450281865426252},\n",
       " {'update': 0.5959251281344888,\n",
       "  'itunes': 0.852665968292347,\n",
       "  '#apple': 0.39407674945202215,\n",
       "  'trial': 0.5736698960304017,\n",
       "  'heads': 0.7675283643313486,\n",
       "  '#aapl': 0.17882409031992197},\n",
       " {'rt': 0.13300669288307232,\n",
       "  'witness': 0.34106638731693883,\n",
       "  'star': 0.34106638731693883,\n",
       "  'jurors': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'grave': 0.36809739452414975,\n",
       "  'trial': 0.22946795841216072,\n",
       "  '2': 0.22161575603506845,\n",
       "  'set': 0.34106638731693883,\n",
       "  'fr': 0.4143072065614794,\n",
       "  'beyond': 0.36809739452414975,\n",
       "  'steve': 0.20527425883286948,\n",
       "  'hear': 0.34106638731693883,\n",
       "  '@gma': 0.4143072065614794,\n",
       "  'jobs': 0.20823770967092506},\n",
       " {'appl': 0.7768260123027739,\n",
       "  'music': 0.5528560786492671,\n",
       "  '#tech': 0.5756462732485115,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'claims': 0.6394994762192603,\n",
       "  'trial': 0.43025242202280134,\n",
       "  'heads': 0.5756462732485115,\n",
       "  'digital': 0.6394994762192603},\n",
       " {'thanks': 0.279430214673439,\n",
       "  'esp': 0.44390057845872793,\n",
       "  'battery': 0.279430214673439,\n",
       "  'efficiently': 0.44390057845872793,\n",
       "  'problem': 0.39439006556158895,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'zach': 0.44390057845872793,\n",
       "  'fantastic': 0.44390057845872793,\n",
       "  'sorting': 0.44390057845872793,\n",
       "  'quickly': 0.44390057845872793,\n",
       "  'service': 0.29536903976731116,\n",
       "  'store': 0.25539648348620947,\n",
       "  'today': 0.279430214673439,\n",
       "  'touchwood': 0.44390057845872793},\n",
       " {'dropped': 1.0231991619508165,\n",
       "  'apple': 0.34519434573801044,\n",
       "  \"here's\": 0.9656627474604603,\n",
       "  '#aapl': 0.21458890838390637,\n",
       "  'aapl': 0.45267287596815287},\n",
       " {'#stocks': 0.34697389323852923,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'users': 0.3880634499424435,\n",
       "  '#mkt': 0.40207714810855794,\n",
       "  '#trading': 0.33178715826915045,\n",
       "  'pre-opening': 0.5019509925329315,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'premium': 0.41865183508982656,\n",
       "  '#stockaction': 0.40207714810855794,\n",
       "  'comments': 0.41865183508982656,\n",
       "  'intraday': 0.3250500698915394},\n",
       " {'like': 0.45983940355260006,\n",
       "  '@losskitty': 0.8878011569174559,\n",
       "  'apple': 0.24656738981286455,\n",
       "  'always': 0.8878011569174559,\n",
       "  'products': 0.8878011569174559,\n",
       "  'new': 0.45983940355260006,\n",
       "  '@apple': 0.0646509593774307},\n",
       " {'rt': 0.2493875491557606,\n",
       "  'battery': 0.48900287567851825,\n",
       "  'sucks': 0.6394994762192603,\n",
       "  'replace': 0.5756462732485115,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'dear': 0.5756462732485115,\n",
       "  '@laurrynk': 0.6901826147327808,\n",
       "  'phone': 0.4087711399069689},\n",
       " {'never': 0.5115995809754083,\n",
       "  'get': 0.24534079827286295,\n",
       "  'annoying': 0.5521460917862246,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'first': 0.40173835210859726,\n",
       "  'stuff': 0.5521460917862246,\n",
       "  'thats': 0.6214608098422192,\n",
       "  'time': 0.3729701448634192,\n",
       "  'right': 0.4422848629194137,\n",
       "  '@thisdueemarco': 0.6214608098422192},\n",
       " {'...': 0.601986402162968,\n",
       "  '@jimcramer': 1.3803652294655615,\n",
       "  '#aapl': 0.26823613547988295,\n",
       "  'going': 1.151292546497023},\n",
       " {'q1': 0.39439006556158895,\n",
       "  'cuts': 0.36542827212529155,\n",
       "  'sharp': 0.3448795526644501,\n",
       "  'apple': 0.12328369490643228,\n",
       "  'lower': 0.32894072757057796,\n",
       "  'plus': 0.36542827212529155,\n",
       "  'iphone': 0.20588597058907057,\n",
       "  'sees': 0.36542827212529155,\n",
       "  'production': 0.36542827212529155,\n",
       "  '6': 0.2374454528947162,\n",
       "  'analyst': 0.29536903976731116,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'aapl': 0.1616688842743403,\n",
       "  'risk': 0.36542827212529155},\n",
       " {'q1': 0.3450913073663904,\n",
       "  'rt': 0.1246937745778803,\n",
       "  '@jpdesloges': 0.28782313662425574,\n",
       "  'cuts': 0.31974973810963014,\n",
       "  'sharp': 0.30176960858139384,\n",
       "  'apple': 0.10787323304312825,\n",
       "  'lower': 0.28782313662425574,\n",
       "  'plus': 0.31974973810963014,\n",
       "  'iphone': 0.18015022426543675,\n",
       "  'sees': 0.31974973810963014,\n",
       "  'production': 0.31974973810963014,\n",
       "  '6': 0.20776477128287668,\n",
       "  'analyst': 0.25844790979639726,\n",
       "  '#aapl': 0.06705903386997074,\n",
       "  'aapl': 0.14146027374004777,\n",
       "  'risk': 0.31974973810963014},\n",
       " {'rt': 0.2493875491557606,\n",
       "  'battery': 0.48900287567851825,\n",
       "  'sucks': 0.6394994762192603,\n",
       "  'replace': 0.5756462732485115,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'dear': 0.5756462732485115,\n",
       "  '@laurrynk': 0.6901826147327808,\n",
       "  'phone': 0.4087711399069689},\n",
       " {'gets': 0.3880634499424435,\n",
       "  '#apple': 0.21495095424655755,\n",
       "  'back': 0.34697389323852923,\n",
       "  'target': 0.3556384550389224,\n",
       "  'thestreet': 0.4389376124820274,\n",
       "  'strong': 0.4389376124820274,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  '#iphone': 0.31291085238021915,\n",
       "  'price': 0.33906376805765376,\n",
       "  'boost': 0.4389376124820274,\n",
       "  'demand': 0.40207714810855794},\n",
       " {'take': 0.2948565752796091,\n",
       "  'ebooks': 0.4143072065614794,\n",
       "  'apple': 0.11506478191267012,\n",
       "  'name': 0.34106638731693883,\n",
       "  'drama': 0.4143072065614794,\n",
       "  '@fortunemagazine': 0.4143072065614794,\n",
       "  'clear': 0.34106638731693883,\n",
       "  'notes': 0.34106638731693883,\n",
       "  'mt': 0.34106638731693883,\n",
       "  \"he'd\": 0.4143072065614794,\n",
       "  '#aapl': 0.07152963612796878,\n",
       "  'says': 0.34106638731693883,\n",
       "  'cue': 0.36809739452414975,\n",
       "  'better': 0.2948565752796091,\n",
       "  'eddy': 0.36809739452414975},\n",
       " {'technology': 1.151292546497023,\n",
       "  'core': 1.3803652294655615,\n",
       "  'dual': 1.5536520246055479,\n",
       "  '@apple': 0.11313917891050375},\n",
       " {'#apple': 0.26271783296801476,\n",
       "  'reiterates': 0.5684439788615646,\n",
       "  \"crest's\": 0.5684439788615646,\n",
       "  'selling': 0.5684439788615646,\n",
       "  'analyst': 0.45946295074915067,\n",
       "  'pacific': 0.6134956575402495,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'forbes': 0.5364793041447001,\n",
       "  'shares': 0.5684439788615646},\n",
       " {'#connected': 0.6318355184563053,\n",
       "  'every': 0.7887801311231779,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  '#txed': 0.6098139927666969,\n",
       "  'deserves': 0.8878011569174559,\n",
       "  'chance': 0.8878011569174559,\n",
       "  'student': 0.8878011569174559},\n",
       " {'biggest': 0.36542827212529155,\n",
       "  'like': 0.22991970177630003,\n",
       "  'ignored': 0.39439006556158895,\n",
       "  'yesterday': 0.29536903976731116,\n",
       "  'largely': 0.39439006556158895,\n",
       "  'looked': 0.39439006556158895,\n",
       "  'surprised': 0.39439006556158895,\n",
       "  'range': 0.32894072757057796,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'years': 0.36542827212529155,\n",
       "  \"i'm\": 0.31591775922815263,\n",
       "  'crash': 0.30490699638334845,\n",
       "  'talk': 0.36542827212529155,\n",
       "  'flash': 0.32894072757057796},\n",
       " {'biggest': 0.36542827212529155,\n",
       "  'like': 0.22991970177630003,\n",
       "  'ignored': 0.39439006556158895,\n",
       "  'yesterday': 0.29536903976731116,\n",
       "  'largely': 0.39439006556158895,\n",
       "  'looked': 0.39439006556158895,\n",
       "  'surprised': 0.39439006556158895,\n",
       "  'range': 0.32894072757057796,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'years': 0.36542827212529155,\n",
       "  \"i'm\": 0.31591775922815263,\n",
       "  'crash': 0.30490699638334845,\n",
       "  'talk': 0.36542827212529155,\n",
       "  'flash': 0.32894072757057796},\n",
       " {'education': 0.371408749023254,\n",
       "  'equal': 0.47804677680170704,\n",
       "  'minorities': 0.47804677680170704,\n",
       "  'great': 0.3935381392118525,\n",
       "  'students': 0.47804677680170704,\n",
       "  'equalizer': 0.47804677680170704,\n",
       "  'access': 0.47804677680170704,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'lack': 0.47804677680170704,\n",
       "  'places': 0.4247277629124805,\n",
       "  '#txed': 0.3283613807205292,\n",
       "  'disadvantage': 0.47804677680170704,\n",
       "  'technology': 0.35424386046062245},\n",
       " {'105': 1.0357680164036984,\n",
       "  '@justinpulitzer': 1.0357680164036984,\n",
       "  '109': 1.0357680164036984,\n",
       "  '#aapl': 0.17882409031992197,\n",
       "  '...': 0.4013242681086453,\n",
       "  'looking': 1.0357680164036984},\n",
       " {'rt': 0.1662583661038404,\n",
       "  '135.00': 0.4263329841461735,\n",
       "  'pt': 0.4023594781085251,\n",
       "  \"apple's\": 0.32600191711901216,\n",
       "  'rating': 0.4263329841461735,\n",
       "  'buy': 0.2922131581099985,\n",
       "  'genuity': 0.3837641821656743,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'aapl': 0.1886136983200637,\n",
       "  'canaccord': 0.35572482911390657,\n",
       "  'raised': 0.4023594781085251,\n",
       "  '@ratingsnetwork': 0.5178840082018492},\n",
       " {'levels': 0.5021729401357465,\n",
       "  'apple': 0.2157464660862565,\n",
       "  'fibonacci': 0.5021729401357465,\n",
       "  'pre-opening': 0.6901826147327808,\n",
       "  'technicals': 0.5021729401357465,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'intraday': 0.4469438461008666},\n",
       " {'markdown': 0.47804677680170704,\n",
       "  'software': 0.3935381392118525,\n",
       "  'interface': 0.47804677680170704,\n",
       "  'writing': 0.47804677680170704,\n",
       "  'mac': 0.34021912532262594,\n",
       "  'typed': 0.47804677680170704,\n",
       "  'blog': 0.35424386046062245,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  'minimal': 0.47804677680170704,\n",
       "  'realmac': 0.47804677680170704,\n",
       "  'app': 0.35424386046062245,\n",
       "  'featuring': 0.47804677680170704,\n",
       "  'launches': 0.3935381392118525},\n",
       " {'product': 0.46012174315518717,\n",
       "  'line': 0.5178840082018492,\n",
       "  'iphone': 0.24020029902058232,\n",
       "  '@mazeonpace': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '6': 0.27701969504383556,\n",
       "  'competes': 0.5178840082018492,\n",
       "  'ipad': 0.5959251281344888,\n",
       "  'vs': 0.46012174315518717,\n",
       "  'needs': 0.46012174315518717,\n",
       "  'longer': 0.46012174315518717},\n",
       " {'money': 0.3880634499424435,\n",
       "  'fast': 0.5019509925329315,\n",
       "  'oil': 0.5649643725838356,\n",
       "  'prices': 0.5649643725838356,\n",
       "  'ebb': 0.5649643725838356,\n",
       "  'flow': 0.5649643725838356,\n",
       "  'energy': 0.5649643725838356,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'recap': 0.5649643725838356,\n",
       "  '...': 0.21890414624107926,\n",
       "  'companies': 0.40207714810855794},\n",
       " {'#connected': 0.40207714810855794,\n",
       "  'leaders': 0.5019509925329315,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'room': 0.46509052815946206,\n",
       "  'amazing': 0.46509052815946206,\n",
       "  'enjoying': 0.5019509925329315,\n",
       "  'event': 0.46509052815946206,\n",
       "  'introductions': 0.5019509925329315,\n",
       "  '#txed': 0.3880634499424435,\n",
       "  'launch': 0.46509052815946206,\n",
       "  '#edtech': 0.5019509925329315},\n",
       " {'phone': 0.8175422798139378,\n",
       "  'new': 0.8047189562170501,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  'got': 1.2789989524385206},\n",
       " {'3': 0.9656627474604603,\n",
       "  'details': 1.2429216196844384,\n",
       "  '#applewatch': 1.0231991619508165,\n",
       "  'exposed': 1.2429216196844384,\n",
       "  '#aapl': 0.21458890838390637},\n",
       " {'wedge': 1.0357680164036984,\n",
       "  'daily': 0.9202434863103743,\n",
       "  '#aapl': 0.17882409031992197,\n",
       "  'aapl': 0.3772273966401274,\n",
       "  '...': 0.8026485362172906},\n",
       " {'mary': 0.6214608098422192,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  'attempts': 0.6214608098422192,\n",
       "  'get': 0.24534079827286295,\n",
       "  '#iphones': 0.48283137373023016,\n",
       "  'government': 0.6214608098422192,\n",
       "  'u': 0.32701691192557514,\n",
       "  'unlock': 0.31700856606987693,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'hail': 0.6214608098422192},\n",
       " {'update': 0.4469438461008666,\n",
       "  'levels': 0.5021729401357465,\n",
       "  'apple': 0.2157464660862565,\n",
       "  'fibonacci': 0.5021729401357465,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'technicals': 0.5021729401357465,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  'intraday': 0.4469438461008666},\n",
       " {'like': 0.21459172165788004,\n",
       "  'slammed': 0.4143072065614794,\n",
       "  'please': 0.2756777704494904,\n",
       "  'shoes': 0.4143072065614794,\n",
       "  'poor': 0.4143072065614794,\n",
       "  'got': 0.34106638731693883,\n",
       "  'pisini': 0.4143072065614794,\n",
       "  '#cl': 0.4143072065614794,\n",
       "  '#aapl': 0.07152963612796878,\n",
       "  'clown': 0.4143072065614794,\n",
       "  'make': 0.2756777704494904,\n",
       "  'report': 0.34106638731693883,\n",
       "  '#cnbc': 0.4143072065614794,\n",
       "  'yesterday.yesterday': 0.4143072065614794,\n",
       "  'put': 0.30701134573253946},\n",
       " {'trillion': 0.46509052815946206,\n",
       "  '#apple': 0.21495095424655755,\n",
       "  'breyer': 0.5649643725838356,\n",
       "  'jim': 0.5019509925329315,\n",
       "  \"here's\": 0.4389376124820274,\n",
       "  'company': 0.46509052815946206,\n",
       "  'dollar': 0.5019509925329315,\n",
       "  'vc': 0.5649643725838356,\n",
       "  'billionaire': 0.5649643725838356,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'according': 0.46509052815946206},\n",
       " {'education': 0.4389376124820274,\n",
       "  '#ipad': 0.34697389323852923,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  \"apple's\": 0.3556384550389224,\n",
       "  '#chromebooks': 0.5019509925329315,\n",
       "  'u': 0.29728810175052284,\n",
       "  'overtake': 0.5649643725838356,\n",
       "  'ipads': 0.46509052815946206,\n",
       "  'market': 0.4389376124820274,\n",
       "  'chromebooks': 0.5019509925329315,\n",
       "  '@googlechrome': 0.5649643725838356},\n",
       " {'113.3': 0.6214608098422192,\n",
       "  'inc': 0.3381394754365976,\n",
       "  'dropped': 0.5115995809754083,\n",
       "  'priced': 0.5521460917862246,\n",
       "  'apple': 0.17259717286900522,\n",
       "  '1.54': 0.6214608098422192,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'aapl': 0.22633643798407643,\n",
       "  'currently': 0.6214608098422192,\n",
       "  'doomed': 0.6214608098422192},\n",
       " {'@apple': 0.041141519603819544,\n",
       "  'protection': 0.4389376124820274,\n",
       "  'patents': 0.46509052815946206,\n",
       "  'world': 0.3759242324311233,\n",
       "  'mechanism': 0.41865183508982656,\n",
       "  'imagine': 0.5649643725838356,\n",
       "  'without': 0.46509052815946206,\n",
       "  '#iphone': 0.31291085238021915,\n",
       "  'screens': 0.46509052815946206,\n",
       "  'drop': 0.3556384550389224,\n",
       "  'cracked': 0.46509052815946206},\n",
       " {'also': 0.40207714810855794,\n",
       "  '#healthkit': 0.5649643725838356,\n",
       "  'panelist': 0.5649643725838356,\n",
       "  \"mobiquity's\": 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'first': 0.3652166837350884,\n",
       "  '@snyder4g': 0.5649643725838356,\n",
       "  'movers': 0.5649643725838356,\n",
       "  '@mhealth14': 0.5649643725838356,\n",
       "  '@mhealthsummit': 0.5649643725838356,\n",
       "  'featured': 0.46509052815946206},\n",
       " {'cards': 0.7887801311231779,\n",
       "  'apple': 0.24656738981286455,\n",
       "  'credit': 0.8878011569174559,\n",
       "  'pay': 0.6897591053289002,\n",
       "  'remove': 0.7887801311231779,\n",
       "  'remotely': 0.8878011569174559,\n",
       "  '#aapl': 0.15327779170279024},\n",
       " {'taking': 0.6901826147327808,\n",
       "  'stop': 0.6394994762192603,\n",
       "  'vertical': 0.7768260123027739,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'via': 0.3695639450500887,\n",
       "  'wants': 0.7768260123027739,\n",
       "  '@outsidemagazine': 0.7768260123027739,\n",
       "  'photos': 0.6901826147327808},\n",
       " {'#apple': 0.2955575620890166,\n",
       "  '#stevejobs': 0.5021729401357465,\n",
       "  'best': 0.5756462732485115,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'steve': 0.3848892353116303,\n",
       "  '10': 0.6394994762192603,\n",
       "  'emails': 0.6035392171627877,\n",
       "  'jobs': 0.3904457056329845},\n",
       " {'like': 0.29262507498801826,\n",
       "  'inch': 0.5019509925329315,\n",
       "  '12': 0.5649643725838356,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'planning': 0.5649643725838356,\n",
       "  'reportedly': 0.5649643725838356,\n",
       "  \"microsoft's\": 0.5649643725838356,\n",
       "  'ipad': 0.3250500698915394,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  'surface': 0.5649643725838356},\n",
       " {'#apple': 0.18188157667016408,\n",
       "  '#tuesday': 0.34021912532262594,\n",
       "  'changes': 0.371408749023254,\n",
       "  '#december': 0.3283613807205292,\n",
       "  '#patents': 0.3935381392118525,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'protection': 0.371408749023254,\n",
       "  'device': 0.371408749023254,\n",
       "  'mechanism': 0.35424386046062245,\n",
       "  '2': 0.25571048773277133,\n",
       "  '#iphone': 0.26477072124480083,\n",
       "  '...': 0.18522658528091324,\n",
       "  'drop': 0.30092484657139584},\n",
       " {'metadata': 0.47804677680170704,\n",
       "  'itc': 0.47804677680170704,\n",
       "  'team': 0.47804677680170704,\n",
       "  'rejected': 0.47804677680170704,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'resubmission': 0.47804677680170704,\n",
       "  '2': 0.25571048773277133,\n",
       "  'props': 0.4247277629124805,\n",
       "  'reviewing': 0.47804677680170704,\n",
       "  'hours': 0.47804677680170704,\n",
       "  'thanks': 0.30092484657139584,\n",
       "  'app': 0.35424386046062245,\n",
       "  'review': 0.47804677680170704},\n",
       " {'#applebears': 0.38841300615138696,\n",
       "  'bears': 0.30176960858139384,\n",
       "  '#apple': 0.1477787810445083,\n",
       "  'apple': 0.10787323304312825,\n",
       "  'get': 0.15333799892053934,\n",
       "  'paid': 0.28782313662425574,\n",
       "  'double': 0.30176960858139384,\n",
       "  '#aapl': 0.06705903386997074,\n",
       "  'amid': 0.27642803932463356,\n",
       "  '#news': 0.6901826147327808,\n",
       "  '#iphone': 0.21512621101140067,\n",
       "  'drop': 0.24450143783925912,\n",
       "  'put': 0.28782313662425574,\n",
       "  '#appleoptions': 0.38841300615138696,\n",
       "  'contracts': 0.30176960858139384},\n",
       " {'hoes': 2.071536032807397,\n",
       "  '@apple': 0.1508522385473383,\n",
       "  'yall': 1.6094379124341005},\n",
       " {'#mobilesecurity': 0.6214608098422192,\n",
       "  'excellent': 0.5521460917862246,\n",
       "  'new': 0.3218875824868201,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'updates': 0.5115995809754083,\n",
       "  \"what's\": 0.5521460917862246,\n",
       "  '#mcafee': 0.6214608098422192,\n",
       "  \"phone's\": 0.6214608098422192,\n",
       "  '#ios7': 0.6214608098422192,\n",
       "  'core': 0.5521460917862246},\n",
       " {'keep': 0.48283137373023016,\n",
       "  'server': 0.5115995809754083,\n",
       "  'files': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'newer': 0.6214608098422192,\n",
       "  'hard': 0.4422848629194137,\n",
       "  'local': 0.6214608098422192,\n",
       "  'drive': 0.6214608098422192,\n",
       "  'transferring': 0.6214608098422192,\n",
       "  'thanks': 0.39120230054281463},\n",
       " {'georgetown': 0.6214608098422192,\n",
       "  'available': 0.5115995809754083,\n",
       "  'refurbs': 0.6214608098422192,\n",
       "  'new': 0.3218875824868201,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'online': 0.4605170185988092,\n",
       "  \"refurb'd\": 0.6214608098422192,\n",
       "  'ipads': 0.5115995809754083,\n",
       "  'store': 0.3575550768806933,\n",
       "  'sell': 0.6214608098422192},\n",
       " {'update': 0.4469438461008666,\n",
       "  'levels': 0.5021729401357465,\n",
       "  'apple': 0.2157464660862565,\n",
       "  'fibonacci': 0.5021729401357465,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'technicals': 0.5021729401357465,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  'intraday': 0.4469438461008666},\n",
       " {'estimates': 0.5178840082018492,\n",
       "  'cap': 0.46012174315518717,\n",
       "  'trillion': 0.4263329841461735,\n",
       "  '#apple': 0.19703837472601107,\n",
       "  'fundamental': 0.5178840082018492,\n",
       "  'still': 0.33478196009049765,\n",
       "  'far-fetched': 0.5178840082018492,\n",
       "  '1': 0.32600191711901216,\n",
       "  'market': 0.4023594781085251,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'algorithmic': 0.46012174315518717,\n",
       "  'analysis': 0.5178840082018492},\n",
       " {'able': 0.6901826147327808,\n",
       "  'may': 0.6394994762192603,\n",
       "  '@capitolization': 0.7768260123027739,\n",
       "  'online': 0.5756462732485115,\n",
       "  'believe': 0.6035392171627877,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'ship': 0.6901826147327808,\n",
       "  'store': 0.4469438461008666},\n",
       " {'instead': 0.5178840082018492,\n",
       "  'misleading': 0.5178840082018492,\n",
       "  'notice': 0.5178840082018492,\n",
       "  'get': 0.20445066522738578,\n",
       "  'alleged': 0.5178840082018492,\n",
       "  'labeling': 0.5178840082018492,\n",
       "  'apps': 0.35572482911390657,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'change': 0.4023594781085251,\n",
       "  'free': 0.3180594021353184,\n",
       "  'say': 0.4023594781085251,\n",
       "  'due': 0.5178840082018492},\n",
       " {'#stocks': 0.3180594021353184,\n",
       "  'updated': 0.4263329841461735,\n",
       "  'apple': 0.14383097739083767,\n",
       "  'users': 0.35572482911390657,\n",
       "  '#mkt': 0.3685707190995114,\n",
       "  'range': 0.3837641821656743,\n",
       "  '#trading': 0.3041382284133879,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'premium': 0.3837641821656743,\n",
       "  '#stockaction': 0.3685707190995114,\n",
       "  'comments': 0.3837641821656743,\n",
       "  'intraday': 0.2979625640672444},\n",
       " {'cap': 0.6134956575402495,\n",
       "  'passes': 0.6905120109357991,\n",
       "  'billion': 0.5364793041447001,\n",
       "  'sales': 0.4914276254660152,\n",
       "  '700': 0.6905120109357991,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'market': 0.5364793041447001,\n",
       "  'tablet': 0.5364793041447001,\n",
       "  'slump': 0.6905120109357991},\n",
       " {'also': 0.7371414381990228,\n",
       "  'apple': 0.28766195478167533,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  '@drewbsaunders': 1.0357680164036984,\n",
       "  'thanks': 0.6520038342380243,\n",
       "  'interestingly': 1.0357680164036984},\n",
       " {'means': 0.3655651822601289,\n",
       "  'bill': 0.3655651822601289,\n",
       "  'please': 0.24324509157307977,\n",
       "  'wonder': 0.3247918186977792,\n",
       "  'use': 0.23631667771093953,\n",
       "  'confusing': 0.3655651822601289,\n",
       "  'get': 0.14431811663109584,\n",
       "  'later': 0.3655651822601289,\n",
       "  'download': 0.30094092998553423,\n",
       "  '@apple': 0.026620983273059704,\n",
       "  '@shortyawards': 0.3247918186977792,\n",
       "  'u': 0.3847257787359707,\n",
       "  'free': 0.44902503830868484,\n",
       "  'going': 0.27089236388165244,\n",
       "  'ur': 0.24324509157307977},\n",
       " {'dock': 0.5019509925329315,\n",
       "  'thunderbolt': 0.5649643725838356,\n",
       "  '4k': 0.5649643725838356,\n",
       "  'mac': 0.40207714810855794,\n",
       "  'elgato': 0.5649643725838356,\n",
       "  '2': 0.3022033036841843,\n",
       "  'blog': 0.41865183508982656,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'support': 0.5019509925329315,\n",
       "  'resolution': 0.5649643725838356,\n",
       "  'launches': 0.46509052815946206},\n",
       " {'coolest': 0.44390057845872793,\n",
       "  '#tech': 0.32894072757057796,\n",
       "  'sorry': 0.44390057845872793,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'piece': 0.44390057845872793,\n",
       "  '#wearable': 0.44390057845872793,\n",
       "  'via': 0.21117939717147927,\n",
       "  '#e-paper': 0.44390057845872793,\n",
       "  '#watch': 0.44390057845872793,\n",
       "  'fes': 0.44390057845872793,\n",
       "  '@bustle': 0.44390057845872793,\n",
       "  '@sony': 0.39439006556158895,\n",
       "  '@luchanglu': 0.44390057845872793,\n",
       "  'yet': 0.36542827212529155},\n",
       " {'macbook': 0.18467979669589038,\n",
       "  'pro': 0.2231879733936651,\n",
       "  'delivery': 0.34525600546789953,\n",
       "  \"they'll\": 0.34525600546789953,\n",
       "  'next': 0.26823965207235007,\n",
       "  'return': 0.34525600546789953,\n",
       "  ';-)': 0.34525600546789953,\n",
       "  '@apple': 0.02514203975788972,\n",
       "  'finally': 0.30674782877012474,\n",
       "  '15': 0.34525600546789953,\n",
       "  'probably': 0.34525600546789953,\n",
       "  'announce': 0.34525600546789953,\n",
       "  'month': 0.30674782877012474,\n",
       "  '17': 0.34525600546789953,\n",
       "  'gave': 0.30674782877012474,\n",
       "  'model': 0.34525600546789953,\n",
       "  'one': 0.2231879733936651,\n",
       "  'retina': 0.2842219894307823},\n",
       " {'#stocks': 0.29359329427875547,\n",
       "  'updated': 0.3935381392118525,\n",
       "  'apple': 0.13276705605308092,\n",
       "  'users': 0.3283613807205292,\n",
       "  '#mkt': 0.34021912532262594,\n",
       "  'new': 0.2476058326821693,\n",
       "  'range': 0.35424386046062245,\n",
       "  '#trading': 0.2807429800738966,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  'premium': 0.35424386046062245,\n",
       "  '#stockaction': 0.34021912532262594,\n",
       "  'comments': 0.35424386046062245,\n",
       "  'intraday': 0.27504236683130256},\n",
       " {'education': 0.5364793041447001,\n",
       "  'loses': 0.5684439788615646,\n",
       "  'apple': 0.19177463652111687,\n",
       "  'sales': 0.4914276254660152,\n",
       "  'google': 0.5364793041447001,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'aapl': 0.25148493109341824,\n",
       "  'ground': 0.5684439788615646,\n",
       "  'tablet': 0.5364793041447001},\n",
       " {'inc': 0.2817828961971646,\n",
       "  'computer': 0.46012174315518717,\n",
       "  'apple': 0.14383097739083767,\n",
       "  'target': 0.32600191711901216,\n",
       "  'rated': 0.5178840082018492,\n",
       "  'buy': 0.2922131581099985,\n",
       "  'genuity': 0.3837641821656743,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'aapl': 0.1886136983200637,\n",
       "  'canaccord': 0.35572482911390657,\n",
       "  'price': 0.3108084540528493,\n",
       "  '135': 0.4263329841461735},\n",
       " {'need': 0.5959251281344888,\n",
       "  'slow': 1.0357680164036984,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'really': 0.6695639201809953,\n",
       "  'mac': 0.7371414381990228,\n",
       "  'lately': 1.0357680164036984},\n",
       " {'update': 0.4469438461008666,\n",
       "  'levels': 0.5021729401357465,\n",
       "  'apple': 0.2157464660862565,\n",
       "  'fibonacci': 0.5021729401357465,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'technicals': 0.5021729401357465,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  'intraday': 0.4469438461008666},\n",
       " {'#connected': 0.34021912532262594,\n",
       "  'rt': 0.1534692610189296,\n",
       "  '@tra_hall': 0.4247277629124805,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'leaders': 0.4247277629124805,\n",
       "  'room': 0.3935381392118525,\n",
       "  'amazing': 0.3935381392118525,\n",
       "  'enjoying': 0.4247277629124805,\n",
       "  'event': 0.3935381392118525,\n",
       "  'introductions': 0.4247277629124805,\n",
       "  '#txed': 0.3283613807205292,\n",
       "  'launch': 0.3935381392118525,\n",
       "  '#edtech': 0.4247277629124805},\n",
       " {'stays': 1.0357680164036984,\n",
       "  'hope': 0.9202434863103743,\n",
       "  'green': 1.0357680164036984,\n",
       "  '#aapl': 0.17882409031992197,\n",
       "  'aapl': 0.3772273966401274,\n",
       "  'right': 0.7371414381990228},\n",
       " {'rt': 0.1534692610189296,\n",
       "  '@dkusnetzky': 0.47804677680170704,\n",
       "  'customer': 0.3283613807205292,\n",
       "  'successes': 0.47804677680170704,\n",
       "  '@southwestair': 0.47804677680170704,\n",
       "  'fails': 0.47804677680170704,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  '#cx': 0.47804677680170704,\n",
       "  '@gregsherry': 0.47804677680170704,\n",
       "  'service': 0.3180897351340274,\n",
       "  'examples': 0.47804677680170704,\n",
       "  '#custserv': 0.4247277629124805,\n",
       "  '#cem': 0.47804677680170704},\n",
       " {'offering': 0.5649643725838356,\n",
       "  'switching': 0.5649643725838356,\n",
       "  'halve': 0.5649643725838356,\n",
       "  'bills': 0.5649643725838356,\n",
       "  'sprint': 0.5649643725838356,\n",
       "  'blog': 0.41865183508982656,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'ios': 0.3759242324311233,\n",
       "  'wireless': 0.5019509925329315,\n",
       "  'verizon': 0.46509052815946206,\n",
       "  'customers': 0.5019509925329315},\n",
       " {'users': 0.776126899884887,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'android': 0.5019509925329315,\n",
       "  'numbers': 0.5649643725838356,\n",
       "  'out-spend': 0.5649643725838356,\n",
       "  'affluent': 0.5649643725838356,\n",
       "  'mean': 0.5019509925329315,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  'really': 0.3652166837350884},\n",
       " {'tank': 0.47804677680170704,\n",
       "  'meaning': 0.47804677680170704,\n",
       "  'produce': 0.47804677680170704,\n",
       "  'new': 0.2476058326821693,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'whatever': 0.47804677680170704,\n",
       "  'soviet': 0.47804677680170704,\n",
       "  'turns': 0.47804677680170704,\n",
       "  'seeks': 0.47804677680170704,\n",
       "  'jokes': 0.47804677680170704,\n",
       "  '#russia': 0.47804677680170704,\n",
       "  'rival': 0.4247277629124805,\n",
       "  '#kalashnikov': 0.47804677680170704},\n",
       " {'god': 0.7768260123027739,\n",
       "  'shit': 0.4469438461008666,\n",
       "  'ruined': 0.7768260123027739,\n",
       "  'ide': 0.7768260123027739,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'damned': 0.7768260123027739,\n",
       "  'stupid': 0.6394994762192603,\n",
       "  'upgrade': 0.6394994762192603},\n",
       " {'pieces': 1.8404869726207487,\n",
       "  'shit': 1.1918502562689777,\n",
       "  '@apple': 0.1508522385473383},\n",
       " {'come': 0.5115995809754083,\n",
       "  'anymore': 0.5521460917862246,\n",
       "  'genius': 0.6214608098422192,\n",
       "  'bar': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'online': 0.4605170185988092,\n",
       "  \"can't\": 0.40173835210859726,\n",
       "  'make': 0.4135166556742356,\n",
       "  'appointments': 0.5521460917862246,\n",
       "  'hey': 0.48283137373023016},\n",
       " {'peaked': 1.0231991619508165,\n",
       "  \"apple's\": 0.7824046010856293,\n",
       "  'ipad': 0.7151101537613866,\n",
       "  'sales': 0.8845697258388274,\n",
       "  '#aapl': 0.21458890838390637},\n",
       " {'rt': 0.3325167322076808,\n",
       "  'shit': 0.5959251281344888,\n",
       "  'pieces': 0.9202434863103743,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'happened': 0.9202434863103743,\n",
       "  '@khaleel': 1.0357680164036984},\n",
       " {'gets': 0.3880634499424435,\n",
       "  'back': 0.34697389323852923,\n",
       "  'target': 0.3556384550389224,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'iphone': 0.2620366898406353,\n",
       "  'strong': 0.4389376124820274,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  'price': 0.33906376805765376,\n",
       "  'boost': 0.4389376124820274,\n",
       "  'demand': 0.40207714810855794},\n",
       " {'fallen': 0.5684439788615646,\n",
       "  'yesterday': 0.45946295074915067,\n",
       "  'apple': 0.19177463652111687,\n",
       "  '6': 0.7387191867835615,\n",
       "  'could': 0.4463759467873302,\n",
       "  'reasons': 0.5364793041447001,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  '...': 0.26754951207243016},\n",
       " {'pay': 0.9656627474604603,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'compuserve': 1.2429216196844384,\n",
       "  'internet': 1.2429216196844384,\n",
       "  'btc': 1.2429216196844384},\n",
       " {'#apple': 0.2364460496712133,\n",
       "  'pac': 0.5521460917862246,\n",
       "  'cautious': 0.6214608098422192,\n",
       "  'lower': 0.4605170185988092,\n",
       "  'notes': 0.5115995809754083,\n",
       "  '#crus': 0.6214608098422192,\n",
       "  'crest': 0.5521460917862246,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'following': 0.5521460917862246,\n",
       "  'deutsche': 0.5521460917862246},\n",
       " {'invented': 1.0357680164036984,\n",
       "  'phones': 0.7675283643313486,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'peanut-butter-sandwich': 1.0357680164036984,\n",
       "  'technology': 0.7675283643313486,\n",
       "  'awesome': 1.0357680164036984},\n",
       " {'update': 0.4469438461008666,\n",
       "  'levels': 0.5021729401357465,\n",
       "  'apple': 0.2157464660862565,\n",
       "  'fibonacci': 0.5021729401357465,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'technicals': 0.5021729401357465,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  'intraday': 0.4469438461008666},\n",
       " {'fuck': 0.4383197371649977,\n",
       "  'buying': 0.6394994762192603,\n",
       "  'still': 0.5021729401357465,\n",
       "  'new': 0.40235947810852507,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'lol': 0.6901826147327808,\n",
       "  \"i'm\": 0.5528560786492671,\n",
       "  'one': 0.5021729401357465},\n",
       " {'target': 0.32600191711901216,\n",
       "  'explanation': 0.5178840082018492,\n",
       "  'buy': 0.2922131581099985,\n",
       "  'reiterated': 0.5178840082018492,\n",
       "  'genuity': 0.3837641821656743,\n",
       "  'aapl': 0.3772273966401274,\n",
       "  'canaccord': 0.35572482911390657,\n",
       "  'raised': 0.4023594781085251,\n",
       "  'brief': 0.5178840082018492,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  '135': 0.4263329841461735},\n",
       " {'apple': 0.19177463652111687,\n",
       "  'target': 0.43466922282534953,\n",
       "  'ups': 0.6134956575402495,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'canaccord': 0.4742997721518754,\n",
       "  '...': 0.26754951207243016,\n",
       "  'share': 0.6134956575402495,\n",
       "  'price': 0.4144112720704657,\n",
       "  '135': 0.5684439788615646},\n",
       " {'temperature': 0.5649643725838356,\n",
       "  '@zerohedge': 0.5649643725838356,\n",
       "  'spiking': 0.5649643725838356,\n",
       "  'attack': 0.5649643725838356,\n",
       "  '...': 0.21890414624107926,\n",
       "  'way': 0.5019509925329315,\n",
       "  'via': 0.26877377821824633,\n",
       "  'either': 0.5649643725838356,\n",
       "  'terrorist': 0.5649643725838356,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'economic': 0.5019509925329315},\n",
       " {'much': 0.8845697258388274,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'pain': 1.2429216196844384,\n",
       "  'today': 0.7824046010856293,\n",
       "  'caused': 1.1042921835724493},\n",
       " {'struggles': 0.4143072065614794,\n",
       "  '#as': 0.4143072065614794,\n",
       "  '#apple': 0.15763069978080888,\n",
       "  '#tuesday': 0.2948565752796091,\n",
       "  '#december': 0.2845798632911253,\n",
       "  '#meet': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'still': 0.26782556807239816,\n",
       "  '2': 0.22161575603506845,\n",
       "  '#iphone6': 0.4143072065614794,\n",
       "  'raises': 0.4143072065614794,\n",
       "  '#canaccord': 0.4143072065614794,\n",
       "  '...': 0.1605297072434581,\n",
       "  'price': 0.24864676324227944,\n",
       "  'demand': 0.2948565752796091},\n",
       " {'server': 0.4263329841461735,\n",
       "  'bait-and-switched': 0.5178840082018492,\n",
       "  'paying': 0.5178840082018492,\n",
       "  '10.10': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'cool': 1.0357680164036984,\n",
       "  'free': 0.3180594021353184,\n",
       "  '1': 0.32600191711901216,\n",
       "  'upgd': 0.5178840082018492,\n",
       "  '...': 0.20066213405432265,\n",
       "  'upgrade': 0.4263329841461735},\n",
       " {'futuristic': 0.47804677680170704,\n",
       "  'wozniak': 0.47804677680170704,\n",
       "  'star': 0.3935381392118525,\n",
       "  'tv': 0.371408749023254,\n",
       "  'focusing': 0.47804677680170704,\n",
       "  'tech': 0.371408749023254,\n",
       "  'reality': 0.371408749023254,\n",
       "  'upcoming': 0.47804677680170704,\n",
       "  'blog': 0.35424386046062245,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  'steve': 0.23685491403792633,\n",
       "  'mac': 0.34021912532262594,\n",
       "  'show': 0.3935381392118525},\n",
       " {'consumer': 0.7768260123027739,\n",
       "  'iphone': 0.3603004485308735,\n",
       "  'shortages': 0.7768260123027739,\n",
       "  'plummet': 0.7768260123027739,\n",
       "  'sales': 0.5528560786492671,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'helping': 0.7768260123027739,\n",
       "  'radioshack': 0.7768260123027739},\n",
       " {'witness': 0.5115995809754083,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  '#stevejobs': 0.40173835210859726,\n",
       "  'antitrust': 0.4422848629194137,\n",
       "  'suit': 0.5521460917862246,\n",
       "  '@bgr': 0.6214608098422192,\n",
       "  'via': 0.295651156040071,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  '#ipod': 0.4268697949366879,\n",
       "  'crucial': 0.6214608098422192},\n",
       " {'#android': 0.5019509925329315,\n",
       "  'phones': 0.41865183508982656,\n",
       "  '#ios': 0.5019509925329315,\n",
       "  'revenue': 0.5019509925329315,\n",
       "  'dazzle': 0.5649643725838356,\n",
       "  'thestreet': 0.4389376124820274,\n",
       "  'dominate': 0.5019509925329315,\n",
       "  '2018': 0.5019509925329315,\n",
       "  '#goog': 0.46509052815946206,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'phone': 0.29728810175052284},\n",
       " {'gets': 0.3880634499424435,\n",
       "  '#apple': 0.21495095424655755,\n",
       "  'back': 0.34697389323852923,\n",
       "  'target': 0.3556384550389224,\n",
       "  'thestreet': 0.4389376124820274,\n",
       "  'strong': 0.4389376124820274,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  '#iphone': 0.31291085238021915,\n",
       "  'price': 0.33906376805765376,\n",
       "  'boost': 0.4389376124820274,\n",
       "  'demand': 0.40207714810855794},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'gets': 0.3283613807205292,\n",
       "  '#apple': 0.18188157667016408,\n",
       "  'back': 0.29359329427875547,\n",
       "  'target': 0.30092484657139584,\n",
       "  '@jopocop': 0.4247277629124805,\n",
       "  'thestreet': 0.371408749023254,\n",
       "  'strong': 0.371408749023254,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  '#iphone': 0.26477072124480083,\n",
       "  'price': 0.2869001114333994,\n",
       "  'boost': 0.371408749023254,\n",
       "  'demand': 0.34021912532262594},\n",
       " {'court': 0.4605170185988092,\n",
       "  'fight': 0.48283137373023016,\n",
       "  'case': 0.4605170185988092,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  '#stevejobs': 0.40173835210859726,\n",
       "  'new': 0.3218875824868201,\n",
       "  'drm': 0.5521460917862246,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'forbes': 0.48283137373023016,\n",
       "  'decision': 0.5521460917862246},\n",
       " {'computers': 1.1042921835724493,\n",
       "  'apple': 0.17259717286900522,\n",
       "  'believe': 0.48283137373023016,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'see': 0.4605170185988092,\n",
       "  'adware': 0.5521460917862246,\n",
       "  'immune': 0.5521460917862246,\n",
       "  'susceptible': 0.5521460917862246,\n",
       "  'post': 0.5115995809754083},\n",
       " {'fallen': 0.5684439788615646,\n",
       "  '#apple': 0.26271783296801476,\n",
       "  'yesterday': 0.45946295074915067,\n",
       "  '6': 0.7387191867835615,\n",
       "  'could': 0.4463759467873302,\n",
       "  'reasons': 0.5364793041447001,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'forbes': 0.5364793041447001},\n",
       " {'fuckin': 1.0357680164036984,\n",
       "  'please': 0.689194426123726,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'yall': 0.8047189562170503,\n",
       "  'phone': 0.5450281865426252,\n",
       "  'send': 0.852665968292347},\n",
       " {'#xcode': 0.5649643725838356,\n",
       "  'fix': 0.3880634499424435,\n",
       "  'simulators': 0.5649643725838356,\n",
       "  'tried': 0.5649643725838356,\n",
       "  'reinstall': 0.5019509925329315,\n",
       "  '#ios': 0.5019509925329315,\n",
       "  'anyone': 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'complete': 0.5649643725838356,\n",
       "  'know': 0.41865183508982656,\n",
       "  '...': 0.21890414624107926},\n",
       " {'bears': 0.4389376124820274,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'get': 0.22303708933896632,\n",
       "  'paid': 0.41865183508982656,\n",
       "  'double': 0.4389376124820274,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'amid': 0.40207714810855794,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  'drop': 0.3556384550389224,\n",
       "  'put': 0.41865183508982656,\n",
       "  'contracts': 0.4389376124820274},\n",
       " {'#tokenization': 0.8878011569174559,\n",
       "  'issues': 0.7887801311231779,\n",
       "  'adoption': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'early': 0.8878011569174559,\n",
       "  '#blackfriday': 0.7308565442505831,\n",
       "  '#applepay': 0.7887801311231779},\n",
       " {'allegations': 0.9202434863103743,\n",
       "  'fighting': 1.0357680164036984,\n",
       "  '#apple': 0.39407674945202215,\n",
       "  '#aapl': 0.17882409031992197,\n",
       "  'monopoly': 1.0357680164036984,\n",
       "  'cnbctv': 0.7114496582278131},\n",
       " {'peaked': 1.0231991619508165,\n",
       "  'growth': 1.1042921835724493,\n",
       "  '#aapl': 0.21458890838390637,\n",
       "  '#iphone': 0.6884038752364822,\n",
       "  'cnbctv': 0.8537395898733758},\n",
       " {'worries': 1.0357680164036984,\n",
       "  'analyst': 0.689194426123726,\n",
       "  'growth': 0.9202434863103743,\n",
       "  '#aapl': 0.17882409031992197,\n",
       "  '#iphone': 0.5736698960304017,\n",
       "  'cnbctv': 0.7114496582278131},\n",
       " {'game': 0.6578814551411559,\n",
       "  '#apple': 0.33778007095887613,\n",
       "  'suckers': 0.8878011569174559,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  '#cramer': 0.8878011569174559,\n",
       "  'cnbctv': 0.6098139927666969,\n",
       "  'trading': 0.6318355184563053},\n",
       " {'#apple': 0.4728920993424266,\n",
       "  'trial': 0.6884038752364822,\n",
       "  'heads': 0.9210340371976184,\n",
       "  '#aapl': 0.21458890838390637,\n",
       "  'cnbctv': 0.8537395898733758},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'bears': 0.371408749023254,\n",
       "  '@jpdesloges': 0.35424386046062245,\n",
       "  'apple': 0.13276705605308092,\n",
       "  'get': 0.18872369097912536,\n",
       "  'paid': 0.35424386046062245,\n",
       "  'double': 0.371408749023254,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  'amid': 0.34021912532262594,\n",
       "  'aapl': 0.17410495229544343,\n",
       "  'drop': 0.30092484657139584,\n",
       "  'put': 0.35424386046062245,\n",
       "  'contracts': 0.371408749023254},\n",
       " {'twitter': 0.3837641821656743,\n",
       "  '@archimage': 0.5178840082018492,\n",
       "  'people': 0.4023594781085251,\n",
       "  'search': 0.3685707190995114,\n",
       "  'seen': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'forums': 0.5178840082018492,\n",
       "  'solution': 0.5178840082018492,\n",
       "  'remember': 0.46012174315518717,\n",
       "  'bunch': 0.5178840082018492,\n",
       "  'dev': 0.5178840082018492,\n",
       "  'tweeting': 0.5178840082018492},\n",
       " {'#advertising': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'rep': 0.5521460917862246,\n",
       "  \"company's\": 0.6214608098422192,\n",
       "  'sign': 0.5521460917862246,\n",
       "  'match': 0.5115995809754083,\n",
       "  '#programmatic': 0.6214608098422192,\n",
       "  'innovative': 0.5521460917862246,\n",
       "  'times': 0.5521460917862246,\n",
       "  'iad': 0.6214608098422192},\n",
       " {'huge': 0.3935381392118525,\n",
       "  'ping': 0.47804677680170704,\n",
       "  'directly': 0.47804677680170704,\n",
       "  'others': 0.4247277629124805,\n",
       "  'peering': 0.47804677680170704,\n",
       "  '@google': 0.34021912532262594,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  '@netflix': 0.3935381392118525,\n",
       "  '6ms': 0.47804677680170704,\n",
       "  'response': 0.47804677680170704,\n",
       "  'getting': 0.47804677680170704,\n",
       "  'isp': 0.47804677680170704,\n",
       "  '@winteknoc': 0.47804677680170704},\n",
       " {'sd': 1.0357680164036984,\n",
       "  'memory': 0.46012174315518717,\n",
       "  'cards': 0.9202434863103743,\n",
       "  'iphone': 0.24020029902058232,\n",
       "  'add': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'allow': 0.5178840082018492,\n",
       "  'profit': 0.46012174315518717,\n",
       "  'know': 0.3837641821656743,\n",
       "  'make': 0.344597213061863},\n",
       " {'cashback': 0.6214608098422192,\n",
       "  '#mac': 0.6214608098422192,\n",
       "  '#cybermonday': 0.4605170185988092,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  '#iphones': 0.48283137373023016,\n",
       "  '#ipads': 0.5521460917862246,\n",
       "  '7': 0.5521460917862246,\n",
       "  'woah': 0.6214608098422192,\n",
       "  'store': 0.3575550768806933,\n",
       "  'deals': 0.6214608098422192},\n",
       " {'computers': 1.1042921835724493,\n",
       "  'believe': 0.48283137373023016,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'see': 0.4605170185988092,\n",
       "  'adware': 0.5521460917862246,\n",
       "  'immune': 0.5521460917862246,\n",
       "  '...': 0.2407945608651872,\n",
       "  'susceptible': 0.5521460917862246,\n",
       "  'post': 0.5115995809754083},\n",
       " {'#stocks': 0.3180594021353184,\n",
       "  'apple': 0.14383097739083767,\n",
       "  'users': 0.35572482911390657,\n",
       "  '#mkt': 0.3685707190995114,\n",
       "  'new': 0.26823965207235,\n",
       "  'range': 0.3837641821656743,\n",
       "  '#trading': 0.3041382284133879,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'premium': 0.3837641821656743,\n",
       "  '#stockaction': 0.3685707190995114,\n",
       "  'comments': 0.3837641821656743,\n",
       "  'intraday': 0.2979625640672444},\n",
       " {'fallen': 0.5684439788615646,\n",
       "  'yesterday': 0.45946295074915067,\n",
       "  'apple': 0.19177463652111687,\n",
       "  '6': 0.7387191867835615,\n",
       "  'could': 0.4463759467873302,\n",
       "  'reasons': 0.5364793041447001,\n",
       "  'aapl': 0.25148493109341824,\n",
       "  '#aapl': 0.11921606021328131},\n",
       " {'#apple': 0.18188157667016408,\n",
       "  '#tuesday': 0.34021912532262594,\n",
       "  'changes': 0.371408749023254,\n",
       "  '#december': 0.3283613807205292,\n",
       "  '#patents': 0.3935381392118525,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'protection': 0.371408749023254,\n",
       "  'device': 0.371408749023254,\n",
       "  'mechanism': 0.35424386046062245,\n",
       "  '2': 0.25571048773277133,\n",
       "  '#iphone': 0.26477072124480083,\n",
       "  '...': 0.18522658528091324,\n",
       "  'drop': 0.30092484657139584},\n",
       " {'player': 0.46012174315518717,\n",
       "  'aging': 0.46012174315518717,\n",
       "  'loses': 0.4263329841461735,\n",
       "  'apple': 0.14383097739083767,\n",
       "  'leapfrogs': 0.46012174315518717,\n",
       "  'tv': 0.4023594781085251,\n",
       "  'media': 0.46012174315518717,\n",
       "  'chromecast': 0.5178840082018492,\n",
       "  'google': 0.4023594781085251,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'ground': 0.4263329841461735,\n",
       "  'rivals': 0.46012174315518717},\n",
       " {'macbook': 0.6648472681052054,\n",
       "  'apple': 0.34519434573801044,\n",
       "  '949.86': 0.9210340371976184,\n",
       "  '£': 0.8845697258388274,\n",
       "  'â': 0.8845697258388274},\n",
       " {'keeps': 0.9210340371976184,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'fucking': 0.8034767042171945,\n",
       "  'freezing': 1.1042921835724493,\n",
       "  'phone': 0.6540338238511503},\n",
       " {'macbook': 0.4748909057894324,\n",
       "  'rt': 0.28501434189229785,\n",
       "  'apple': 0.24656738981286455,\n",
       "  '949.86': 0.6578814551411559,\n",
       "  '@ace_kit_uk': 0.6318355184563053,\n",
       "  '£': 0.6318355184563053,\n",
       "  'â': 0.6318355184563053},\n",
       " {'macbook': 0.4748909057894324,\n",
       "  'rt': 0.28501434189229785,\n",
       "  'apple': 0.24656738981286455,\n",
       "  '949.86': 0.6578814551411559,\n",
       "  '@ace_kit_uk': 0.6318355184563053,\n",
       "  '£': 0.6318355184563053,\n",
       "  'â': 0.6318355184563053},\n",
       " {'#grandcentralstation': 1.5536520246055479,\n",
       "  '@apple': 0.11313917891050375,\n",
       "  '#gorgeous': 1.5536520246055479,\n",
       "  'lighting': 1.5536520246055479},\n",
       " {'thank': 0.6035392171627877,\n",
       "  'people': 0.6035392171627877,\n",
       "  '@god': 0.7768260123027739,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  \"can't\": 0.5021729401357465,\n",
       "  'headphones': 1.3803652294655615,\n",
       "  'hear': 0.6394994762192603},\n",
       " {'mid': 0.47804677680170704,\n",
       "  'tricks': 0.47804677680170704,\n",
       "  '#apple': 0.18188157667016408,\n",
       "  '#patent': 0.4247277629124805,\n",
       "  'patent': 0.371408749023254,\n",
       "  'new': 0.2476058326821693,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  '#tech': 0.35424386046062245,\n",
       "  '#technology': 0.47804677680170704,\n",
       "  'breaking': 0.4247277629124805,\n",
       "  'avoid': 0.47804677680170704,\n",
       "  'air': 0.371408749023254,\n",
       "  \"#iphone's\": 0.47804677680170704},\n",
       " {'u2': 0.6134956575402495,\n",
       "  'album': 0.6905120109357991,\n",
       "  'putting': 0.6905120109357991,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  'suing': 0.6905120109357991,\n",
       "  \"i've\": 0.5684439788615646,\n",
       "  'shitty': 0.6134956575402495,\n",
       "  'phone': 0.36335212436175013,\n",
       "  'considering': 0.6905120109357991},\n",
       " {'breaks': 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'patents': 0.46509052815946206,\n",
       "  'anti-gravity': 0.5649643725838356,\n",
       "  'mechanism': 0.41865183508982656,\n",
       "  'via': 0.26877377821824633,\n",
       "  '@tomshardware': 0.5649643725838356,\n",
       "  '#getagoodcase': 0.5649643725838356,\n",
       "  'drop-proof': 0.5649643725838356,\n",
       "  'physics': 0.5649643725838356,\n",
       "  'laws': 0.5019509925329315},\n",
       " {'lost': 0.4023594781085251,\n",
       "  'another': 0.46012174315518717,\n",
       "  'customer': 0.35572482911390657,\n",
       "  '@amazon': 0.5178840082018492,\n",
       "  'tv': 0.4023594781085251,\n",
       "  'believe': 0.4023594781085251,\n",
       "  '@macrumors': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'bought': 0.4263329841461735,\n",
       "  '@kellyhodgkins': 0.5178840082018492,\n",
       "  'fire': 0.46012174315518717,\n",
       "  '69': 0.5178840082018492},\n",
       " {'apple': 0.15690652079000472,\n",
       "  'music': 0.40207714810855794,\n",
       "  'billion': 0.4389376124820274,\n",
       "  'trial': 0.31291085238021915,\n",
       "  'lawsuit': 0.4389376124820274,\n",
       "  'california': 0.5649643725838356,\n",
       "  '1': 0.3556384550389224,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'digital': 0.46509052815946206,\n",
       "  'goes': 0.5019509925329315},\n",
       " {'rt': 0.28501434189229785,\n",
       "  'keeps': 0.6578814551411559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'fucking': 0.5739119315837103,\n",
       "  '@unstanningzarry': 0.8878011569174559,\n",
       "  'freezing': 0.7887801311231779,\n",
       "  'phone': 0.46716701703653585},\n",
       " {'reading': 0.6134956575402495,\n",
       "  'worth': 0.6134956575402495,\n",
       "  'map': 0.6905120109357991,\n",
       "  '@google': 0.4914276254660152,\n",
       "  'apps': 0.4742997721518754,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  '#ux': 0.6905120109357991,\n",
       "  'comparison': 0.6905120109357991,\n",
       "  '#design': 0.6905120109357991},\n",
       " {'damn': 0.9656627474604603,\n",
       "  'imessage': 0.3218875824868201,\n",
       "  'money': 0.2845798632911253,\n",
       "  'get': 0.16356053218190864,\n",
       "  'wish': 0.30701134573253946,\n",
       "  'iphone': 0.19216023921646586,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'could': 0.5356511361447963,\n",
       "  'u': 0.21801127461705008,\n",
       "  'enough': 0.36809739452414975,\n",
       "  'damm': 0.36809739452414975,\n",
       "  '@ohiloveariana': 0.36809739452414975},\n",
       " {'inc': 0.3381394754365976,\n",
       "  'apple': 0.17259717286900522,\n",
       "  'sells': 0.5521460917862246,\n",
       "  'still': 0.40173835210859726,\n",
       "  'stanley': 0.48283137373023016,\n",
       "  'buy': 0.3506557897319982,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'aapl': 0.22633643798407643,\n",
       "  'morgan': 0.48283137373023016,\n",
       "  'stock': 0.40173835210859726},\n",
       " {'case': 0.4605170185988092,\n",
       "  'inc': 0.3381394754365976,\n",
       "  'itunes': 0.5115995809754083,\n",
       "  'apple': 0.17259717286900522,\n",
       "  'co-founder': 0.5115995809754083,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'late': 0.4605170185988092,\n",
       "  'steve': 0.30791138824930425,\n",
       "  'testifies': 0.6214608098422192,\n",
       "  'jobs': 0.3123565645063876},\n",
       " {'dont': 0.3935381392118525,\n",
       "  'ikr': 0.47804677680170704,\n",
       "  'need': 0.27504236683130256,\n",
       "  \"i'll\": 0.4247277629124805,\n",
       "  'bc': 0.47804677680170704,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'hopefully': 0.47804677680170704,\n",
       "  'u': 0.25155147071198086,\n",
       "  'buy': 0.26973522287076784,\n",
       "  'christmas': 0.4247277629124805,\n",
       "  'grades': 0.47804677680170704,\n",
       "  'one': 0.3090295016219979,\n",
       "  '@sparkingari': 0.4247277629124805},\n",
       " {'rt': 0.1173588466615344,\n",
       "  'damn': 0.8520553654062886,\n",
       "  'imessage': 0.2840184551354295,\n",
       "  'money': 0.2510998793745223,\n",
       "  'get': 0.14431811663109584,\n",
       "  'wish': 0.27089236388165244,\n",
       "  'iphone': 0.1695531522498228,\n",
       "  '@apple': 0.026620983273059704,\n",
       "  'could': 0.47263335542187906,\n",
       "  'u': 0.19236288936798535,\n",
       "  'enough': 0.3247918186977792,\n",
       "  'damm': 0.3247918186977792,\n",
       "  '@sparkingari': 0.3247918186977792,\n",
       "  '@ohiloveariana': 0.3247918186977792},\n",
       " {'phones': 0.511685576220899,\n",
       "  'revenue': 0.6134956575402495,\n",
       "  'android': 0.6134956575402495,\n",
       "  '...': 0.26754951207243016,\n",
       "  'dominate': 0.6134956575402495,\n",
       "  '2018': 0.6134956575402495,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'ios': 0.45946295074915067,\n",
       "  'phone': 0.36335212436175013},\n",
       " {'#android': 0.7887801311231779,\n",
       "  'holiday': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'v': 0.8878011569174559,\n",
       "  'came': 0.8878011569174559,\n",
       "  'top': 0.7308565442505831,\n",
       "  'weekend': 0.8878011569174559},\n",
       " {'server': 0.36542827212529155,\n",
       "  'need': 0.25539648348620947,\n",
       "  '#apple': 0.16889003547943807,\n",
       "  'b': 0.44390057845872793,\n",
       "  'sort': 0.44390057845872793,\n",
       "  '#yosemite': 0.36542827212529155,\n",
       "  'yosemite': 0.3448795526644501,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'find': 0.39439006556158895,\n",
       "  '#yosemiteproblems': 0.39439006556158895,\n",
       "  'safari': 0.7887801311231779,\n",
       "  'llshit': 0.44390057845872793,\n",
       "  '#macbook': 0.25539648348620947},\n",
       " {'priced': 0.39439006556158895,\n",
       "  'apple': 0.12328369490643228,\n",
       "  'pac': 0.39439006556158895,\n",
       "  'mostly': 0.44390057845872793,\n",
       "  'iphone': 0.20588597058907057,\n",
       "  'cycle': 0.44390057845872793,\n",
       "  'says': 0.36542827212529155,\n",
       "  'targets': 0.44390057845872793,\n",
       "  'canaccord': 0.30490699638334845,\n",
       "  'crest': 0.39439006556158895,\n",
       "  'aapl': 0.1616688842743403,\n",
       "  'merrill': 0.44390057845872793,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'stock': 0.28695596579185517},\n",
       " {'popular': 1.0357680164036984,\n",
       "  'find': 0.9202434863103743,\n",
       "  '#aapl': 0.17882409031992197,\n",
       "  'besides': 1.0357680164036984,\n",
       "  'state': 0.9202434863103743,\n",
       "  'stocks': 0.9202434863103743},\n",
       " {'allegations': 0.6134956575402495,\n",
       "  '#tech': 0.511685576220899,\n",
       "  'faces': 0.6905120109357991,\n",
       "  '@apple': 0.05028407951577944,\n",
       "  '1b': 0.6905120109357991,\n",
       "  'lawsuit': 0.5364793041447001,\n",
       "  '#legal': 0.6905120109357991,\n",
       "  'ipod': 0.4914276254660152,\n",
       "  '#lawsuit': 0.6905120109357991},\n",
       " {'trillion': 0.5684439788615646,\n",
       "  'apple': 0.19177463652111687,\n",
       "  \"here's\": 0.5364793041447001,\n",
       "  'company': 0.5684439788615646,\n",
       "  'dollar': 0.6134956575402495,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  '...': 0.26754951207243016,\n",
       "  'billi': 0.6905120109357991,\n",
       "  'according': 0.5684439788615646},\n",
       " {'gets': 0.4268697949366879,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  'patent': 0.48283137373023016,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'prevent': 0.5521460917862246,\n",
       "  '#iphones': 0.48283137373023016,\n",
       "  'fall': 0.4605170185988092,\n",
       "  'screens': 0.5115995809754083,\n",
       "  'cracked': 0.5115995809754083,\n",
       "  'rotating': 0.5521460917862246},\n",
       " {'money': 0.3880634499424435,\n",
       "  'grab': 0.5649643725838356,\n",
       "  'happy': 0.5019509925329315,\n",
       "  '@appstore': 0.5019509925329315,\n",
       "  'aperture': 0.5649643725838356,\n",
       "  'apps': 0.3880634499424435,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'given': 0.4389376124820274,\n",
       "  '@tim_cook': 0.3880634499424435,\n",
       "  'backwards': 0.5649643725838356,\n",
       "  'compatibility': 0.5649643725838356},\n",
       " {'macbook': 0.4748909057894324,\n",
       "  'rt': 0.28501434189229785,\n",
       "  'apple': 0.24656738981286455,\n",
       "  '949.86': 0.6578814551411559,\n",
       "  '@ace_kit_uk': 0.6318355184563053,\n",
       "  '£': 0.6318355184563053,\n",
       "  'â': 0.6318355184563053},\n",
       " {'@apple': 0.2262783578210075, 'twitter': 2.302585092994046},\n",
       " {'back': 0.38167128256238214,\n",
       "  'link': 1.2429216196844384,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'com': 0.6214608098422192,\n",
       "  '@ggwpapple': 0.6214608098422192,\n",
       "  'ups': 0.5521460917862246,\n",
       "  'higher': 0.6214608098422192,\n",
       "  'address': 0.6214608098422192,\n",
       "  'email': 0.5521460917862246},\n",
       " {'low-fi': 0.3107304049211096,\n",
       "  'music': 0.22114243145970686,\n",
       "  'ya': 0.2760730458931123,\n",
       "  'gear': 0.3107304049211096,\n",
       "  'prefer': 0.2760730458931123,\n",
       "  'using': 0.3107304049211096,\n",
       "  '@apple': 0.02262783578210075,\n",
       "  'tips': 0.3107304049211096,\n",
       "  'hold': 0.5521460917862246,\n",
       "  'hey': 0.24141568686511508,\n",
       "  'better': 0.22114243145970686,\n",
       "  'awful': 0.3107304049211096,\n",
       "  'apple': 0.08629858643450261,\n",
       "  'use': 0.20086917605429863,\n",
       "  '#applecare': 0.3107304049211096,\n",
       "  'would': 0.22114243145970686,\n",
       "  'time': 0.1864850724317096,\n",
       "  'hear': 0.2557997904877041,\n",
       "  'love': 0.21343489746834396},\n",
       " {'macbook': 0.25571048773277133,\n",
       "  'pro': 0.3090295016219979,\n",
       "  '13': 0.3935381392118525,\n",
       "  '@youtube': 0.2869001114333994,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'first': 0.3090295016219979,\n",
       "  '#hipster': 0.2869001114333994,\n",
       "  'via': 0.22742396618466998,\n",
       "  'startup': 0.34021912532262594,\n",
       "  '#startup': 0.2869001114333994,\n",
       "  '#macbook': 0.27504236683130256,\n",
       "  'non-retina': 0.3935381392118525,\n",
       "  '#macbookpro': 0.2807429800738966},\n",
       " {'macbook': 0.27701969504383556,\n",
       "  '13in': 0.4263329841461735,\n",
       "  'pro': 0.33478196009049765,\n",
       "  '@youtube': 0.3108084540528493,\n",
       "  '#unboxing': 0.3685707190995114,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '#hipster': 0.3108084540528493,\n",
       "  'via': 0.2463759633667258,\n",
       "  '#startup': 0.3108084540528493,\n",
       "  '#macbook': 0.2979625640672444,\n",
       "  'unboxing': 0.3685707190995114,\n",
       "  '#macbookpro': 0.3041382284133879},\n",
       " {'#ipadmini': 0.34021912532262594,\n",
       "  '@youtube': 0.2869001114333994,\n",
       "  '#ipad': 0.29359329427875547,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  '#unboxing': 0.34021912532262594,\n",
       "  'ipad': 0.27504236683130256,\n",
       "  'via': 0.22742396618466998,\n",
       "  '#hipster': 0.2869001114333994,\n",
       "  '#macbookpro': 0.2807429800738966,\n",
       "  '#startup': 0.2869001114333994,\n",
       "  '#macbook': 0.27504236683130256,\n",
       "  'unboxing': 0.34021912532262594,\n",
       "  'mini': 0.3180897351340274},\n",
       " {'#ipadmini': 0.2948565752796091,\n",
       "  '@youtube': 0.24864676324227944,\n",
       "  '#ipad': 0.25444752170825474,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'first': 0.26782556807239816,\n",
       "  'ipad': 0.23837005125379554,\n",
       "  'via': 0.19710077069338064,\n",
       "  '#hipster': 0.24864676324227944,\n",
       "  'time': 0.24864676324227944,\n",
       "  'startup': 0.2948565752796091,\n",
       "  '#macbookpro': 0.24331058273071035,\n",
       "  '#macbook': 0.23837005125379554,\n",
       "  '#startup': 0.24864676324227944,\n",
       "  '#unbox': 0.34106638731693883,\n",
       "  'mini': 0.2756777704494904},\n",
       " {'iphone': 0.221723352942076,\n",
       "  'may': 0.3935381392118525,\n",
       "  'patent': 0.371408749023254,\n",
       "  'dispute': 0.47804677680170704,\n",
       "  '6': 0.25571048773277133,\n",
       "  \"apple's\": 0.30092484657139584,\n",
       "  'chinese': 0.4247277629124805,\n",
       "  'device': 0.371408749023254,\n",
       "  'look-alike': 0.47804677680170704,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  'aapl': 0.17410495229544343,\n",
       "  'face': 0.4247277629124805,\n",
       "  'vendor': 0.4247277629124805},\n",
       " {'speaks': 0.6214608098422192,\n",
       "  'price-fixing': 0.6214608098422192,\n",
       "  'case': 0.4605170185988092,\n",
       "  'fight': 0.48283137373023016,\n",
       "  'feel': 0.5115995809754083,\n",
       "  'ibooks': 0.6214608098422192,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'cue': 0.5521460917862246,\n",
       "  'truth': 0.6214608098422192,\n",
       "  'eddy': 0.5521460917862246},\n",
       " {'inc': 0.37571052826288615,\n",
       "  'lawmakers': 0.6134956575402495,\n",
       "  'apple': 0.19177463652111687,\n",
       "  'russia': 0.6134956575402495,\n",
       "  'iphone': 0.3202670653607764,\n",
       "  'could': 0.4463759467873302,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'report': 0.5684439788615646,\n",
       "  'ban': 0.6134956575402495},\n",
       " {'customer': 0.6098139927666969,\n",
       "  '#apple': 0.16889003547943807,\n",
       "  'yesterday': 0.29536903976731116,\n",
       "  'displeased': 0.36542827212529155,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'hard': 0.31591775922815263,\n",
       "  'given': 0.3448795526644501,\n",
       "  'die': 0.36542827212529155,\n",
       "  'service': 0.29536903976731116,\n",
       "  '#badservice': 0.36542827212529155,\n",
       "  'say': 0.3448795526644501,\n",
       "  'truly': 0.36542827212529155,\n",
       "  'must': 0.39439006556158895},\n",
       " {'like': 0.40235947810852507,\n",
       "  'issue': 0.6394994762192603,\n",
       "  'would': 0.5528560786492671,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'rep': 0.6901826147327808,\n",
       "  'resolve': 0.7768260123027739,\n",
       "  'reach': 0.7768260123027739,\n",
       "  '@tim_cook': 0.5335872436708599},\n",
       " {'137.5': 0.4143072065614794,\n",
       "  'median': 0.4143072065614794,\n",
       "  'days': 0.2756777704494904,\n",
       "  'target': 0.26080153369520975,\n",
       "  '19': 0.4143072065614794,\n",
       "  'analyst': 0.2756777704494904,\n",
       "  '7': 0.36809739452414975,\n",
       "  '4': 0.2756777704494904,\n",
       "  'aapl': 0.15089095865605096,\n",
       "  'last': 0.3218875824868201,\n",
       "  'positive': 0.4143072065614794,\n",
       "  'upside': 0.4143072065614794,\n",
       "  'ratings': 0.4143072065614794,\n",
       "  '100': 0.3218875824868201,\n",
       "  '#aapl': 0.07152963612796878},\n",
       " {'macbook': 0.4748909057894324,\n",
       "  'rt': 0.28501434189229785,\n",
       "  'apple': 0.24656738981286455,\n",
       "  '949.86': 0.6578814551411559,\n",
       "  '@ace_kit_uk': 0.6318355184563053,\n",
       "  '£': 0.6318355184563053,\n",
       "  'â': 0.6318355184563053},\n",
       " {'available': 0.852665968292347,\n",
       "  'still': 0.6695639201809953,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  '@ace_kit_uk': 0.7371414381990228,\n",
       "  'deal': 1.0357680164036984,\n",
       "  '@office_nerd': 1.0357680164036984},\n",
       " {'pro': 0.5021729401357465,\n",
       "  '#apple': 0.2955575620890166,\n",
       "  'company': 0.6394994762192603,\n",
       "  'arguably': 0.7768260123027739,\n",
       "  'world': 0.5168958195927945,\n",
       "  'innovative': 0.6901826147327808,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'cnbctv': 0.5335872436708599},\n",
       " {'please': 0.29536903976731116,\n",
       "  'available': 0.36542827212529155,\n",
       "  'craig': 0.44390057845872793,\n",
       "  'online': 0.32894072757057796,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'yes': 0.36542827212529155,\n",
       "  'still': 0.28695596579185517,\n",
       "  '@ace_kit_uk': 0.31591775922815263,\n",
       "  'visit': 0.36542827212529155,\n",
       "  'purchase': 0.44390057845872793,\n",
       "  'hi': 0.44390057845872793,\n",
       "  'offer': 0.44390057845872793,\n",
       "  '@themancbear': 0.44390057845872793,\n",
       "  'us': 0.30490699638334845},\n",
       " {\"#apple's\": 0.8878011569174559,\n",
       "  'trial': 0.49171705374034436,\n",
       "  '1': 0.558860429346878,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  'day': 0.6897591053289002,\n",
       "  'cnbctv': 0.6098139927666969,\n",
       "  'antitrust': 0.6318355184563053},\n",
       " {'next': 0.4389376124820274,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'year.death': 0.5019509925329315,\n",
       "  'damaged': 0.5019509925329315,\n",
       "  'valued': 0.5019509925329315,\n",
       "  'think': 0.40207714810855794,\n",
       "  '#samsung': 0.5019509925329315,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  '140-145': 0.5019509925329315,\n",
       "  'steve': 0.2799194438630038,\n",
       "  'jobs': 0.2839605131876251},\n",
       " {'eu': 0.7768260123027739,\n",
       "  'got': 0.6394994762192603,\n",
       "  'ya': 0.6901826147327808,\n",
       "  'nice': 0.7768260123027739,\n",
       "  'iphone': 0.3603004485308735,\n",
       "  'pity': 0.7768260123027739,\n",
       "  'something': 0.6901826147327808,\n",
       "  'happen': 0.7768260123027739},\n",
       " {'witness': 0.6394994762192603,\n",
       "  'apple': 0.2157464660862565,\n",
       "  'trial': 0.43025242202280134,\n",
       "  'heads': 0.5756462732485115,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  '...': 0.300993201081484,\n",
       "  'steve': 0.3848892353116303,\n",
       "  'jobs': 0.3904457056329845},\n",
       " {'#stevejobs': 0.4463759467873302,\n",
       "  'testimony': 0.6134956575402495,\n",
       "  'key': 0.5684439788615646,\n",
       "  'trial': 0.38244659735360115,\n",
       "  'bloombergtv': 0.6134956575402495,\n",
       "  'role': 0.6134956575402495,\n",
       "  'play': 0.5684439788615646,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  '#ipod': 0.4742997721518754},\n",
       " {'rt': 0.18137276302237135,\n",
       "  '#stevejobs': 0.3652166837350884,\n",
       "  'testimony': 0.5019509925329315,\n",
       "  '@jopocop': 0.5019509925329315,\n",
       "  'key': 0.46509052815946206,\n",
       "  'trial': 0.31291085238021915,\n",
       "  'bloombergtv': 0.5019509925329315,\n",
       "  'role': 0.5019509925329315,\n",
       "  'play': 0.46509052815946206,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  '#ipod': 0.3880634499424435},\n",
       " {'cuts': 0.46509052815946206,\n",
       "  'sharp': 0.4389376124820274,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'sees': 0.46509052815946206,\n",
       "  'production': 0.46509052815946206,\n",
       "  'bank': 0.5649643725838356,\n",
       "  \"iphone's\": 0.5649643725838356,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'deutsche': 0.5019509925329315,\n",
       "  'risk': 0.46509052815946206},\n",
       " {'zum': 0.6214608098422192,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  '#tuesday': 0.4422848629194137,\n",
       "  '#december': 0.4268697949366879,\n",
       "  '#verrã_cktes': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  '2': 0.3324236340526027,\n",
       "  '#iphone6s': 0.5521460917862246,\n",
       "  'watch': 0.4422848629194137,\n",
       "  '#gerã_cht': 0.6214608098422192},\n",
       " {'player': 0.5019509925329315,\n",
       "  'aging': 0.5019509925329315,\n",
       "  'loses': 0.46509052815946206,\n",
       "  'leapfrogs': 0.5019509925329315,\n",
       "  'media': 0.5019509925329315,\n",
       "  '@google': 0.40207714810855794,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  '#chromecast': 0.5649643725838356,\n",
       "  '#tv': 0.5649643725838356,\n",
       "  'ground': 0.46509052815946206,\n",
       "  'rivals': 0.5019509925329315},\n",
       " {'gets': 0.4268697949366879,\n",
       "  'iphones': 0.30791138824930425,\n",
       "  'patent': 0.48283137373023016,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'prevent': 0.5521460917862246,\n",
       "  '@tim_maliyil': 0.6214608098422192,\n",
       "  'fall': 0.4605170185988092,\n",
       "  'screens': 0.5115995809754083,\n",
       "  'cracked': 0.5115995809754083,\n",
       "  'rotating': 0.5521460917862246},\n",
       " {'locations': 0.5649643725838356,\n",
       "  'soooo': 0.5649643725838356,\n",
       "  'plz': 0.5649643725838356,\n",
       "  'synchronized': 0.5649643725838356,\n",
       "  'weird': 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'apps': 0.3880634499424435,\n",
       "  'passcodes': 0.5649643725838356,\n",
       "  'kill': 0.5649643725838356,\n",
       "  'verizon': 0.46509052815946206,\n",
       "  'everything': 0.5019509925329315},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'next': 0.371408749023254,\n",
       "  'apple': 0.13276705605308092,\n",
       "  'year.death': 0.4247277629124805,\n",
       "  'damaged': 0.4247277629124805,\n",
       "  'valued': 0.4247277629124805,\n",
       "  '@elmetifi': 0.47804677680170704,\n",
       "  'think': 0.34021912532262594,\n",
       "  '#samsung': 0.4247277629124805,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  '140-145': 0.4247277629124805,\n",
       "  'steve': 0.23685491403792633,\n",
       "  'jobs': 0.24027428038952892},\n",
       " {'restore': 0.36809739452414975,\n",
       "  'software': 0.34106638731693883,\n",
       "  'somewhat': 0.4143072065614794,\n",
       "  'latest': 0.4143072065614794,\n",
       "  'iphone': 0.19216023921646586,\n",
       "  'new': 0.21459172165788004,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'strikes': 0.4143072065614794,\n",
       "  \"can't\": 0.26782556807239816,\n",
       "  'stuff': 0.36809739452414975,\n",
       "  'brand': 0.34106638731693883,\n",
       "  'without': 0.34106638731693883,\n",
       "  'stupid': 0.34106638731693883,\n",
       "  'old': 0.36809739452414975,\n",
       "  'sent': 0.4143072065614794},\n",
       " {'@apple': 0.07542611927366916,\n",
       "  'bullshit': 1.0357680164036984,\n",
       "  'something': 0.9202434863103743,\n",
       "  'really': 0.6695639201809953,\n",
       "  'needs': 0.9202434863103743,\n",
       "  'cords': 0.9202434863103743},\n",
       " {'court': 0.511685576220899,\n",
       "  'back': 0.4240792028470912,\n",
       "  '#stevejobs': 0.4463759467873302,\n",
       "  'apple': 0.19177463652111687,\n",
       "  'ipods': 0.6905120109357991,\n",
       "  'drag': 0.6905120109357991,\n",
       "  'dead': 0.6134956575402495,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'old': 0.6134956575402495},\n",
       " {'#skyworks': 0.5178840082018492,\n",
       "  '#brcm': 0.5178840082018492,\n",
       "  '#apple': 0.19703837472601107,\n",
       "  'supplier': 0.5178840082018492,\n",
       "  '169': 0.5178840082018492,\n",
       "  'still': 0.33478196009049765,\n",
       "  '#swks': 0.5178840082018492,\n",
       "  'buy': 0.2922131581099985,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  '#qcom': 0.5178840082018492,\n",
       "  '#vti': 0.5178840082018492,\n",
       "  '#mu': 0.5178840082018492},\n",
       " {'bgr': 0.6214608098422192,\n",
       "  'surprising': 0.6214608098422192,\n",
       "  'visuals': 0.6214608098422192,\n",
       "  'amazing': 0.5115995809754083,\n",
       "  'designs': 0.6214608098422192,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  '#iphone': 0.3442019376182411,\n",
       "  '5': 0.4268697949366879,\n",
       "  'gorgeous': 0.6214608098422192,\n",
       "  '#apps': 0.5521460917862246},\n",
       " {'70m': 0.8878011569174559,\n",
       "  'fundraising': 0.8878011569174559,\n",
       "  'banks': 0.8878011569174559,\n",
       "  'stripe': 0.8878011569174559,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  '...': 0.34399222980741023,\n",
       "  'round': 0.7887801311231779},\n",
       " {'rt': 0.13300669288307232,\n",
       "  '@susankare': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  '@idsa': 0.4143072065614794,\n",
       "  'young': 0.36809739452414975,\n",
       "  'legendary': 0.36809739452414975,\n",
       "  'gives': 0.4143072065614794,\n",
       "  '2': 0.22161575603506845,\n",
       "  'designer': 0.36809739452414975,\n",
       "  'via': 0.19710077069338064,\n",
       "  'follow': 0.36809739452414975,\n",
       "  'designers': 0.36809739452414975,\n",
       "  'simple': 0.36809739452414975,\n",
       "  'rules': 0.36809739452414975,\n",
       "  '@fastcodesign': 0.36809739452414975},\n",
       " {'case': 0.41865183508982656,\n",
       "  'year': 0.5649643725838356,\n",
       "  'back': 0.34697389323852923,\n",
       "  '3': 0.4389376124820274,\n",
       "  'iphone': 0.2620366898406353,\n",
       "  'open': 0.5019509925329315,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'quietly': 0.5649643725838356,\n",
       "  'sitting': 0.5649643725838356,\n",
       "  'protective': 0.5649643725838356,\n",
       "  'split': 0.5649643725838356},\n",
       " {'@apple': 0.0646509593774307,\n",
       "  '#applepay': 0.7887801311231779,\n",
       "  'prefer': 0.7887801311231779,\n",
       "  'silver': 0.7887801311231779,\n",
       "  '@ncrcorporation': 0.8878011569174559,\n",
       "  '#bitcoin': 0.8878011569174559,\n",
       "  'merchants': 0.8878011569174559},\n",
       " {'perfect': 0.46012174315518717,\n",
       "  'update': 0.2979625640672444,\n",
       "  'asking': 0.5178840082018492,\n",
       "  'software': 0.4263329841461735,\n",
       "  'install': 0.46012174315518717,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'yes': 0.4263329841461735,\n",
       "  'time': 0.3108084540528493,\n",
       "  'without': 0.4263329841461735,\n",
       "  'screen': 0.46012174315518717,\n",
       "  'lock': 0.5178840082018492,\n",
       "  '#not': 0.5178840082018492},\n",
       " {'customer': 0.6567227614410583,\n",
       "  'yesterday': 0.3180897351340274,\n",
       "  'displeased': 0.3935381392118525,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'mt': 0.3935381392118525,\n",
       "  'hard': 0.34021912532262594,\n",
       "  'given': 0.371408749023254,\n",
       "  'die': 0.3935381392118525,\n",
       "  '@msnarcissistic': 0.47804677680170704,\n",
       "  'service': 0.3180897351340274,\n",
       "  '#badservice': 0.3935381392118525,\n",
       "  'truly': 0.3935381392118525},\n",
       " {'iphone': 0.2620366898406353,\n",
       "  'chinese': 0.5019509925329315,\n",
       "  \"apple's\": 0.3556384550389224,\n",
       "  'claims': 0.46509052815946206,\n",
       "  '6': 0.3022033036841843,\n",
       "  'looks': 0.5649643725838356,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  'phone': 0.29728810175052284,\n",
       "  'similar': 0.5649643725838356,\n",
       "  'vendor': 0.5019509925329315},\n",
       " {'@samjam': 0.5649643725838356,\n",
       "  'battery': 0.3556384550389224,\n",
       "  'good': 0.3652166837350884,\n",
       "  'iphones': 0.2799194438630038,\n",
       "  'life': 0.5019509925329315,\n",
       "  'new': 0.29262507498801826,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'agreed--have': 0.5649643725838356,\n",
       "  '#tl_chat': 0.4389376124820274,\n",
       "  'props': 0.5019509925329315,\n",
       "  'give': 0.46509052815946206},\n",
       " {'#winnipeg': 0.7768260123027739,\n",
       "  'scary': 0.7768260123027739,\n",
       "  'safe': 0.7768260123027739,\n",
       "  'stay': 0.6901826147327808,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  '#winter': 0.7768260123027739,\n",
       "  'free': 0.47708910320297765,\n",
       "  'app': 0.5756462732485115},\n",
       " {'update': 0.4469438461008666,\n",
       "  'levels': 0.5021729401357465,\n",
       "  'apple': 0.2157464660862565,\n",
       "  'fibonacci': 0.5021729401357465,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'technicals': 0.5021729401357465,\n",
       "  'aapl': 0.28292054748009554,\n",
       "  'intraday': 0.4469438461008666},\n",
       " {'rt': 0.1995100393246085,\n",
       "  'update': 0.3575550768806933,\n",
       "  '@jpdesloges': 0.4605170185988092,\n",
       "  'apple': 0.17259717286900522,\n",
       "  'levels': 0.40173835210859726,\n",
       "  'fibonacci': 0.40173835210859726,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'aapl': 0.22633643798407643,\n",
       "  'intraday': 0.3575550768806933,\n",
       "  'technicals': 0.40173835210859726},\n",
       " {'take': 0.5528560786492671,\n",
       "  'please': 0.5168958195927945,\n",
       "  'imessage': 0.6035392171627877,\n",
       "  'fuck': 0.4383197371649977,\n",
       "  'shit': 0.4469438461008666,\n",
       "  'hate': 0.6035392171627877,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'microphone': 0.7768260123027739},\n",
       " {'a4': 0.3655651822601289,\n",
       "  'like': 0.18934563675695298,\n",
       "  '@storeystl': 0.3655651822601289,\n",
       "  'need': 0.21032651581217252,\n",
       "  'items': 0.3655651822601289,\n",
       "  'holds': 0.3655651822601289,\n",
       "  'iphone': 0.1695531522498228,\n",
       "  'although': 0.3655651822601289,\n",
       "  'purse': 0.3655651822601289,\n",
       "  '@apple': 0.026620983273059704,\n",
       "  '6': 0.1955433141485898,\n",
       "  '@tommyhilfiger': 0.3247918186977792,\n",
       "  '#tl_chat': 0.2840184551354295,\n",
       "  'many': 0.30094092998553423,\n",
       "  'spacious': 0.3655651822601289,\n",
       "  'sounds': 0.3247918186977792,\n",
       "  'upgrade': 0.30094092998553423},\n",
       " {'like': 0.35765286942980007,\n",
       "  'method': 0.6905120109357991,\n",
       "  '#apple': 0.26271783296801476,\n",
       "  'patents': 0.5684439788615646,\n",
       "  '#iphones': 0.5364793041447001,\n",
       "  'cat': 0.6134956575402495,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'make': 0.45946295074915067,\n",
       "  'fall': 0.511685576220899},\n",
       " {'court': 0.41865183508982656,\n",
       "  'fight': 0.4389376124820274,\n",
       "  'case': 0.41865183508982656,\n",
       "  'decision': 0.5019509925329315,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'new': 0.29262507498801826,\n",
       "  'drm': 0.5019509925329315,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  '...': 0.21890414624107926,\n",
       "  'steve': 0.2799194438630038,\n",
       "  'jobs': 0.2839605131876251},\n",
       " {'dock': 0.5521460917862246,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  '#stevejobs': 0.40173835210859726,\n",
       "  'claim': 0.5521460917862246,\n",
       "  'casts': 0.6214608098422192,\n",
       "  'billion': 0.48283137373023016,\n",
       "  '1': 0.39120230054281463,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'conspirator': 0.6214608098422192,\n",
       "  'antitrust': 0.4422848629194137},\n",
       " {'bears': 0.48283137373023016,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  'get': 0.24534079827286295,\n",
       "  'paid': 0.4605170185988092,\n",
       "  'double': 0.48283137373023016,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  'amid': 0.4422848629194137,\n",
       "  'drop': 0.39120230054281463,\n",
       "  'put': 0.4605170185988092,\n",
       "  'contracts': 0.48283137373023016},\n",
       " {'stick': 0.8878011569174559,\n",
       "  'yeah': 0.7887801311231779,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'hell': 0.7308565442505831,\n",
       "  'steve': 0.4398734117847203,\n",
       "  '@sjspencee': 0.8878011569174559,\n",
       "  'man': 0.8878011569174559},\n",
       " {'like': 0.22991970177630003,\n",
       "  'user': 0.44390057845872793,\n",
       "  'current': 0.44390057845872793,\n",
       "  'apple': 0.12328369490643228,\n",
       "  '20': 0.32894072757057796,\n",
       "  'dear': 0.32894072757057796,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  \"i've\": 0.36542827212529155,\n",
       "  \"can't\": 0.28695596579185517,\n",
       "  'remember': 0.39439006556158895,\n",
       "  'safari': 0.39439006556158895,\n",
       "  '#fixit': 0.44390057845872793,\n",
       "  'years': 0.36542827212529155,\n",
       "  'bug': 0.44390057845872793},\n",
       " {'dear': 2.302585092994046, '@apple': 0.2262783578210075},\n",
       " {'perfect': 0.39439006556158895,\n",
       "  'like': 0.22991970177630003,\n",
       "  'already': 0.44390057845872793,\n",
       "  'would': 0.31591775922815263,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  '@blackberry': 0.44390057845872793,\n",
       "  'assure': 0.44390057845872793,\n",
       "  '10.3': 0.44390057845872793,\n",
       "  'catch': 0.44390057845872793,\n",
       "  '1': 0.279430214673439,\n",
       "  'time': 0.26640724633101365,\n",
       "  'released': 0.44390057845872793,\n",
       "  'playing': 0.44390057845872793,\n",
       "  'bb': 0.44390057845872793},\n",
       " {'speaking': 0.38841300615138696,\n",
       "  '@fitbit': 0.38841300615138696,\n",
       "  'a6': 0.38841300615138696,\n",
       "  'place': 0.38841300615138696,\n",
       "  'iphone': 0.18015022426543675,\n",
       "  'new': 0.20117973905426254,\n",
       "  '@apple': 0.028284794727625937,\n",
       "  '6': 0.20776477128287668,\n",
       "  'want': 0.30176960858139384,\n",
       "  'eat': 0.38841300615138696,\n",
       "  'run': 0.38841300615138696,\n",
       "  '#tl_chat': 0.30176960858139384,\n",
       "  'latkes': 0.38841300615138696,\n",
       "  '@travlandleisure': 0.3450913073663904,\n",
       "  'chargehr': 0.38841300615138696,\n",
       "  'wearables': 0.38841300615138696},\n",
       " {'like': 0.3218875824868201,\n",
       "  'together': 0.4135166556742356,\n",
       "  \"we'd\": 0.6214608098422192,\n",
       "  'well': 0.5115995809754083,\n",
       "  'travel': 0.6214608098422192,\n",
       "  'sounds': 0.5521460917862246,\n",
       "  '@tommyhilfiger': 0.5521460917862246,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  '#tl_chat': 0.48283137373023016,\n",
       "  '@littlewordbites': 0.5521460917862246},\n",
       " {'inspired': 0.47804677680170704,\n",
       "  'a5': 0.47804677680170704,\n",
       "  'sharp': 0.371408749023254,\n",
       "  'pin': 0.47804677680170704,\n",
       "  'photos': 0.4247277629124805,\n",
       "  'iphone': 0.221723352942076,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'chipping': 0.47804677680170704,\n",
       "  '6': 0.25571048773277133,\n",
       "  'takes': 0.47804677680170704,\n",
       "  '@travlandleisure': 0.4247277629124805,\n",
       "  '@littlewordbites': 0.4247277629124805,\n",
       "  'incredible': 0.47804677680170704},\n",
       " {'#connected': 0.2948565752796091,\n",
       "  'irl': 0.4143072065614794,\n",
       "  'meet': 0.8286144131229588,\n",
       "  'great': 0.34106638731693883,\n",
       "  'tweep': 0.4143072065614794,\n",
       "  'pleased': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'fellow': 0.8286144131229588,\n",
       "  'event': 0.34106638731693883,\n",
       "  '@wyokari': 0.4143072065614794,\n",
       "  '#txed': 0.2845798632911253,\n",
       "  'practitioner': 0.4143072065614794,\n",
       "  '#tbcoach': 0.4143072065614794},\n",
       " {'eye': 0.5521460917862246,\n",
       "  'level': 0.5115995809754083,\n",
       "  '@stamfordicenter': 0.5521460917862246,\n",
       "  '#nice': 0.5521460917862246,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  '@ctnext': 0.5521460917862246,\n",
       "  'store': 0.3575550768806933,\n",
       "  '#startups': 0.5521460917862246,\n",
       "  '@arccosgolf': 0.5521460917862246,\n",
       "  'buddies': 0.5521460917862246},\n",
       " {'apple': 0.15690652079000472,\n",
       "  'underway': 0.5019509925329315,\n",
       "  'release': 0.5019509925329315,\n",
       "  'testing': 0.5019509925329315,\n",
       "  'rumour': 0.5019509925329315,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  'watch': 0.40207714810855794,\n",
       "  '2015': 0.46509052815946206,\n",
       "  'february': 0.5019509925329315,\n",
       "  'track': 0.5019509925329315},\n",
       " {'fuck': 0.500936842474283,\n",
       "  '@uberfacts': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'think': 0.6318355184563053,\n",
       "  'reasons': 0.6897591053289002,\n",
       "  '4s': 0.8878011569174559,\n",
       "  '100': 0.6897591053289002},\n",
       " {'rt': 0.1534692610189296,\n",
       "  '@jpdesloges': 0.35424386046062245,\n",
       "  'apple': 0.13276705605308092,\n",
       "  'underway': 0.4247277629124805,\n",
       "  'release': 0.4247277629124805,\n",
       "  'testing': 0.4247277629124805,\n",
       "  'rumour': 0.4247277629124805,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  'aapl': 0.17410495229544343,\n",
       "  'watch': 0.34021912532262594,\n",
       "  '2015': 0.3935381392118525,\n",
       "  'february': 0.4247277629124805,\n",
       "  'track': 0.4247277629124805},\n",
       " {'rt': 0.1662583661038404,\n",
       "  'eye': 0.46012174315518717,\n",
       "  'level': 0.4263329841461735,\n",
       "  '@ppropp': 0.5178840082018492,\n",
       "  '@stamfordicenter': 0.46012174315518717,\n",
       "  '#nice': 0.46012174315518717,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  '@ctnext': 0.46012174315518717,\n",
       "  'store': 0.2979625640672444,\n",
       "  '#startups': 0.46012174315518717,\n",
       "  '@arccosgolf': 0.46012174315518717,\n",
       "  'buddies': 0.46012174315518717},\n",
       " {'#socialcleanuptuesday': 0.7768260123027739,\n",
       "  '@midnight': 0.7768260123027739,\n",
       "  'unlike': 1.5536520246055479,\n",
       "  'many': 0.6394994762192603,\n",
       "  'tuesday': 0.6901826147327808,\n",
       "  'unfollow': 0.7768260123027739,\n",
       "  '#unfollow': 0.7768260123027739},\n",
       " {'explicitly': 0.7768260123027739,\n",
       "  '@tomadler': 0.7768260123027739,\n",
       "  'get': 0.3066759978410787,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  '@shortyawards': 0.6901826147327808,\n",
       "  'free': 0.47708910320297765,\n",
       "  'imply': 0.7768260123027739,\n",
       "  'agree': 0.7768260123027739},\n",
       " {'even': 0.5335872436708599,\n",
       "  'also': 0.5528560786492671,\n",
       "  'dont': 0.6394994762192603,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'kirkby': 0.7768260123027739,\n",
       "  'wtf': 0.6394994762192603,\n",
       "  '@sometimesboring': 0.7768260123027739,\n",
       "  'live': 0.7768260123027739},\n",
       " {'comes': 0.39439006556158895,\n",
       "  'employs': 0.44390057845872793,\n",
       "  'sector': 0.32894072757057796,\n",
       "  'indirect': 0.44390057845872793,\n",
       "  'jobs': 0.44622366358055365,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'creating': 0.44390057845872793,\n",
       "  'largest': 0.44390057845872793,\n",
       "  '#innovation': 0.44390057845872793,\n",
       "  '70,000': 0.44390057845872793,\n",
       "  'effect': 0.44390057845872793,\n",
       "  '13,000': 0.44390057845872793,\n",
       "  'multiplier': 0.44390057845872793},\n",
       " {'inc': 0.3073995231241796,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'sells': 0.5019509925329315,\n",
       "  'still': 0.3652166837350884,\n",
       "  'stanley': 0.4389376124820274,\n",
       "  'buy': 0.3187779906654529,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'aapl': 0.4115207963346844,\n",
       "  'morgan': 0.4389376124820274,\n",
       "  'stock': 0.3652166837350884},\n",
       " {'actually': 0.5019509925329315,\n",
       "  'itunes': 0.46509052815946206,\n",
       "  'icloud': 0.5019509925329315,\n",
       "  'trailer': 0.5649643725838356,\n",
       "  'annoying': 0.5019509925329315,\n",
       "  \"there's\": 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  \"can't\": 0.3652166837350884,\n",
       "  'remove': 0.5019509925329315,\n",
       "  'match': 0.46509052815946206,\n",
       "  'movie': 0.5019509925329315},\n",
       " {'even': 0.4742997721518754,\n",
       "  'finish': 0.6905120109357991,\n",
       "  'second': 0.5684439788615646,\n",
       "  '#applewatch': 0.5684439788615646,\n",
       "  'places': 0.6134956575402495,\n",
       "  'via': 0.3285012844889677,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  '@macworld': 0.6905120109357991,\n",
       "  'silver': 0.6134956575402495},\n",
       " {'fuck': 0.3187779906654529,\n",
       "  'shit': 0.6501001397830788,\n",
       "  'siri': 0.5649643725838356,\n",
       "  'telling': 0.5649643725838356,\n",
       "  'da': 0.5649643725838356,\n",
       "  'pay': 0.4389376124820274,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'bull': 0.5649643725838356,\n",
       "  'rain': 0.5649643725838356,\n",
       "  'gonna': 0.5649643725838356},\n",
       " {'give': 0.5115995809754083,\n",
       "  'never': 0.5115995809754083,\n",
       "  'os': 0.5115995809754083,\n",
       "  'work': 0.48283137373023016,\n",
       "  'use': 0.40173835210859726,\n",
       "  'personal': 0.6214608098422192,\n",
       "  'windows': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'suffer': 0.6214608098422192,\n",
       "  'job': 0.5521460917862246},\n",
       " {'#recent': 0.30176960858139384,\n",
       "  '10.49': 0.30176960858139384,\n",
       "  '#market': 0.28782313662425574,\n",
       "  '#gain': 0.30176960858139384,\n",
       "  '20': 0.28782313662425574,\n",
       "  'days': 0.25844790979639726,\n",
       "  '#forex': 0.28782313662425574,\n",
       "  '#stocks': 0.23854455160148882,\n",
       "  '#trading': 0.22810367131004095,\n",
       "  '#aapl': 0.06705903386997074,\n",
       "  '4': 0.25844790979639726,\n",
       "  '#exit': 0.30176960858139384,\n",
       "  'aapl': 0.14146027374004777,\n",
       "  'long': 0.28782313662425574,\n",
       "  'sold': 0.28782313662425574,\n",
       "  '#nasdaq100': 0.30176960858139384},\n",
       " {'beat': 0.6394994762192603,\n",
       "  'classrooms': 0.7768260123027739,\n",
       "  '@google': 0.5528560786492671,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'unseats': 0.7768260123027739,\n",
       "  'u': 0.4087711399069689,\n",
       "  '#chromebooks': 0.6901826147327808,\n",
       "  '#ipads': 0.6901826147327808},\n",
       " {'goods': 0.5178840082018492,\n",
       "  'shopping': 0.5178840082018492,\n",
       "  'receive': 0.5178840082018492,\n",
       "  'flight': 0.5178840082018492,\n",
       "  'may': 0.4263329841461735,\n",
       "  '@united': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'paid': 0.3837641821656743,\n",
       "  '@macmall': 0.5178840082018492,\n",
       "  '#custserv': 0.46012174315518717,\n",
       "  'far': 0.5178840082018492,\n",
       "  'better': 0.3685707190995114},\n",
       " {'bubblews': 1.0357680164036984,\n",
       "  '#apple': 0.39407674945202215,\n",
       "  '@apple': 0.07542611927366916,\n",
       "  'via': 0.4927519267334516,\n",
       "  'waiting': 1.0357680164036984,\n",
       "  '#ipod': 0.7114496582278131},\n",
       " {'like': 0.5852501499760365,\n",
       "  'even': 0.3880634499424435,\n",
       "  'would': 0.40207714810855794,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'words': 0.46509052815946206,\n",
       "  'changing': 0.46509052815946206,\n",
       "  'know': 0.41865183508982656,\n",
       "  'really': 0.7304333674701768,\n",
       "  'misspelled': 0.5649643725838356},\n",
       " {'inc': 0.37571052826288615,\n",
       "  '#apple': 0.26271783296801476,\n",
       "  'lawmakers': 0.6134956575402495,\n",
       "  'russia': 0.6134956575402495,\n",
       "  'iphone': 0.3202670653607764,\n",
       "  'could': 0.4463759467873302,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'report': 0.5684439788615646,\n",
       "  'ban': 0.6134956575402495},\n",
       " {'name': 0.46509052815946206,\n",
       "  'good': 0.3652166837350884,\n",
       "  'picking': 0.5649643725838356,\n",
       "  '@apple': 0.041141519603819544,\n",
       "  'brand': 0.46509052815946206,\n",
       "  'becom': 0.5649643725838356,\n",
       "  'building': 0.5649643725838356,\n",
       "  'goes': 0.5019509925329315,\n",
       "  '@theaphotic': 0.5649643725838356,\n",
       "  'lot': 0.4389376124820274,\n",
       "  '@itsaventum_': 0.5649643725838356},\n",
       " {'inc': 0.48305639348085366,\n",
       "  'significantly': 0.8878011569174559,\n",
       "  '#apple': 0.33778007095887613,\n",
       "  'november': 0.8878011569174559,\n",
       "  'short': 0.8878011569174559,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  'interest': 0.8878011569174559},\n",
       " {'worry': 0.8878011569174559,\n",
       "  'even': 0.6098139927666969,\n",
       "  'stop': 0.7308565442505831,\n",
       "  'anything': 0.8878011569174559,\n",
       "  '@bentkraus': 0.8878011569174559,\n",
       "  '@apple': 0.0646509593774307,\n",
       "  'crash': 0.6098139927666969},\n",
       " {'os': 0.3935381392118525,\n",
       "  '#yosemite': 0.3935381392118525,\n",
       "  'alternative': 0.47804677680170704,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'macmail': 0.47804677680170704,\n",
       "  '#yosemiteproblems': 0.4247277629124805,\n",
       "  'hard': 0.34021912532262594,\n",
       "  'x': 0.4247277629124805,\n",
       "  'program': 0.4247277629124805,\n",
       "  'time': 0.2869001114333994,\n",
       "  'really': 0.3090295016219979,\n",
       "  'giving': 0.47804677680170704,\n",
       "  'email': 0.4247277629124805},\n",
       " {'russian': 0.6905120109357991,\n",
       "  'secrets': 0.6905120109357991,\n",
       "  'lawmaker': 0.6905120109357991,\n",
       "  'iphone': 0.3202670653607764,\n",
       "  'stealing': 0.6905120109357991,\n",
       "  'thinks': 0.6905120109357991,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'aapl': 0.25148493109341824,\n",
       "  'state': 0.6134956575402495},\n",
       " {'update': 0.3972834187563259,\n",
       "  'levels': 0.4463759467873302,\n",
       "  'apple': 0.19177463652111687,\n",
       "  'fibonacci': 0.4463759467873302,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'aapl': 0.25148493109341824,\n",
       "  'last': 0.5364793041447001,\n",
       "  'intraday': 0.3972834187563259,\n",
       "  'technicals': 0.4463759467873302},\n",
       " {'rt': 0.18137276302237135,\n",
       "  'update': 0.3250500698915394,\n",
       "  '@jpdesloges': 0.41865183508982656,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'levels': 0.3652166837350884,\n",
       "  'fibonacci': 0.3652166837350884,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'aapl': 0.2057603981673422,\n",
       "  'last': 0.4389376124820274,\n",
       "  'intraday': 0.3250500698915394,\n",
       "  'technicals': 0.3652166837350884},\n",
       " {'actual': 0.8878011569174559,\n",
       "  'fuck': 0.2504684212371415,\n",
       "  'niggas': 0.44390057845872793,\n",
       "  'changes': 0.3448795526644501,\n",
       "  'wrong': 0.44390057845872793,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'words': 0.7308565442505831,\n",
       "  'correct': 0.39439006556158895,\n",
       "  'spell': 0.44390057845872793,\n",
       "  'yall': 0.3448795526644501,\n",
       "  'autocorrect': 0.44390057845872793,\n",
       "  'word': 0.39439006556158895},\n",
       " {'macbook': 0.8310590851315067,\n",
       "  'today': 0.9780057513570365,\n",
       "  'love': 1.0671744873417197,\n",
       "  '@apple': 0.11313917891050375},\n",
       " {'well': 0.36542827212529155,\n",
       "  'days': 0.29536903976731116,\n",
       "  'executed': 0.44390057845872793,\n",
       "  'reminded': 0.44390057845872793,\n",
       "  '@apple': 0.03232547968871535,\n",
       "  'created': 0.39439006556158895,\n",
       "  '#iphone': 0.24585852687017218,\n",
       "  'chef': 0.44390057845872793,\n",
       "  'dreaming': 0.44390057845872793,\n",
       "  'steve': 0.21993670589236014,\n",
       "  'original': 0.44390057845872793,\n",
       "  '@jon_favreau': 0.44390057845872793,\n",
       "  'movie': 0.39439006556158895,\n",
       "  'jobs': 0.22311183179027683},\n",
       " {'#apple': 0.18188157667016408,\n",
       "  '#tuesday': 0.34021912532262594,\n",
       "  'changes': 0.371408749023254,\n",
       "  '#december': 0.3283613807205292,\n",
       "  '#patents': 0.3935381392118525,\n",
       "  '@apple': 0.03481205504938577,\n",
       "  'protection': 0.371408749023254,\n",
       "  'device': 0.371408749023254,\n",
       "  'mechanism': 0.35424386046062245,\n",
       "  '2': 0.25571048773277133,\n",
       "  '#iphone': 0.26477072124480083,\n",
       "  '...': 0.18522658528091324,\n",
       "  'drop': 0.30092484657139584},\n",
       " {'update': 0.2979625640672444,\n",
       "  '#stocks': 0.3180594021353184,\n",
       "  'apple': 0.14383097739083767,\n",
       "  'users': 0.35572482911390657,\n",
       "  '#mkt': 0.3685707190995114,\n",
       "  '#trading': 0.3041382284133879,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'last': 0.4023594781085251,\n",
       "  'premium': 0.3837641821656743,\n",
       "  '#stockaction': 0.3685707190995114,\n",
       "  'comments': 0.3837641821656743,\n",
       "  'intraday': 0.2979625640672444},\n",
       " {'inc': 0.5635657923943292,\n",
       "  '#apple': 0.39407674945202215,\n",
       "  'apple': 0.28766195478167533,\n",
       "  '#aapl': 0.17882409031992197,\n",
       "  '@moneypress': 1.0357680164036984,\n",
       "  'happened': 0.9202434863103743},\n",
       " {'5gbs': 1.2429216196844384,\n",
       "  '@apple': 0.090511343128403,\n",
       "  'hell': 1.0231991619508165,\n",
       "  'phone': 0.6540338238511503,\n",
       "  'data': 1.0231991619508165},\n",
       " {'like': 0.21459172165788004,\n",
       "  'tweet': 0.4143072065614794,\n",
       "  'favourite': 0.4143072065614794,\n",
       "  'gg': 0.4143072065614794,\n",
       "  'good': 0.26782556807239816,\n",
       "  'iphone': 0.19216023921646586,\n",
       "  'puts': 0.4143072065614794,\n",
       "  'six': 0.4143072065614794,\n",
       "  '@apple': 0.030170447709467665,\n",
       "  'restaurant': 0.4143072065614794,\n",
       "  'caps': 0.4143072065614794,\n",
       "  'knows': 0.36809739452414975,\n",
       "  'phone': 0.43602254923410017,\n",
       "  'nandos': 0.4143072065614794},\n",
       " {'3.34': 0.34525600546789953,\n",
       "  'weekly': 0.34525600546789953,\n",
       "  '13.37': 0.34525600546789953,\n",
       "  '#stocks': 0.2120396014235456,\n",
       "  'apple': 0.09588731826055844,\n",
       "  'ec': 0.34525600546789953,\n",
       "  '#mkt': 0.2457138127330076,\n",
       "  '#stockaction': 0.2457138127330076,\n",
       "  'daily': 0.30674782877012474,\n",
       "  'profit': 0.30674782877012474,\n",
       "  '2': 0.18467979669589038,\n",
       "  'profits': 0.34525600546789953,\n",
       "  '#aapl': 0.059608030106640654,\n",
       "  'sh': 0.6905120109357991,\n",
       "  '#trading': 0.2027588189422586,\n",
       "  ':d': 0.34525600546789953,\n",
       "  'trading': 0.2457138127330076},\n",
       " {'update': 0.25539648348620947,\n",
       "  'sector': 0.32894072757057796,\n",
       "  'regardin': 0.44390057845872793,\n",
       "  '#nasdaq': 0.39439006556158895,\n",
       "  '...': 0.17199611490370512,\n",
       "  'tmus': 0.44390057845872793,\n",
       "  'trial': 0.24585852687017218,\n",
       "  '2014': 0.36542827212529155,\n",
       "  'ntls': 0.44390057845872793,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'set': 0.36542827212529155,\n",
       "  'tuesday': 0.39439006556158895,\n",
       "  'technology': 0.32894072757057796,\n",
       "  'go': 0.39439006556158895},\n",
       " {'continues': 0.6905120109357991,\n",
       "  'promoting': 0.6905120109357991,\n",
       "  'apple': 0.19177463652111687,\n",
       "  'fargo': 0.6905120109357991,\n",
       "  'pay': 0.5364793041447001,\n",
       "  'new': 0.35765286942980007,\n",
       "  'advertisement': 0.6905120109357991,\n",
       "  '#aapl': 0.11921606021328131,\n",
       "  'wells': 0.6905120109357991},\n",
       " {'effects': 0.6214608098422192,\n",
       "  'suit': 0.5521460917862246,\n",
       "  'antitrust': 0.4422848629194137,\n",
       "  'press': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'forget': 0.6214608098422192,\n",
       "  'ipod': 0.4422848629194137,\n",
       "  \"let's\": 0.6214608098422192,\n",
       "  'defend': 0.5115995809754083,\n",
       "  'stock': 0.40173835210859726},\n",
       " {'#apple': 0.39407674945202215,\n",
       "  'start': 1.0357680164036984,\n",
       "  'buying': 0.852665968292347,\n",
       "  'time': 0.6216169081056986,\n",
       "  'foxbustv': 1.0357680164036984,\n",
       "  '#aapl': 0.17882409031992197},\n",
       " {'taco': 1.5536520246055479,\n",
       "  'heck': 1.5536520246055479,\n",
       "  'emoji': 1.2789989524385206,\n",
       "  '@apple': 0.11313917891050375},\n",
       " {'antitrust': 0.40207714810855794,\n",
       "  'apple': 0.15690652079000472,\n",
       "  'trial': 0.31291085238021915,\n",
       "  'u': 0.29728810175052284,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  '...': 0.21890414624107926,\n",
       "  'steve': 0.2799194438630038,\n",
       "  'ipod': 0.40207714810855794,\n",
       "  'emails': 0.4389376124820274,\n",
       "  'featured': 0.46509052815946206,\n",
       "  'jobs': 0.2839605131876251},\n",
       " {'trade': 0.46012174315518717,\n",
       "  '#free': 0.46012174315518717,\n",
       "  '#twitter': 0.46012174315518717,\n",
       "  'updates': 0.4263329841461735,\n",
       "  '#website': 0.46012174315518717,\n",
       "  '#aapl': 0.08941204515996098,\n",
       "  'aapl': 0.1886136983200637,\n",
       "  'nightly': 0.46012174315518717,\n",
       "  '#posted': 0.46012174315518717,\n",
       "  'visit': 0.4263329841461735,\n",
       "  '#trade': 0.46012174315518717,\n",
       "  'free': 0.3180594021353184},\n",
       " {'#cybermonday': 0.3837641821656743,\n",
       "  '#tech': 0.3837641821656743,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'via': 0.2463759633667258,\n",
       "  'beating': 0.4263329841461735,\n",
       "  'brand': 0.4263329841461735,\n",
       "  '#blackfriday': 0.4263329841461735,\n",
       "  'most-desired': 0.5178840082018492,\n",
       "  'named': 0.5178840082018492,\n",
       "  'rival': 0.46012174315518717,\n",
       "  '@thedrum': 0.5178840082018492,\n",
       "  '@sony': 0.46012174315518717},\n",
       " {'#es': 0.38841300615138696,\n",
       "  '#stocks': 0.23854455160148882,\n",
       "  '#eem': 0.38841300615138696,\n",
       "  '#futures': 0.38841300615138696,\n",
       "  'strategic': 0.38841300615138696,\n",
       "  '#forex': 0.28782313662425574,\n",
       "  '#baba': 0.38841300615138696,\n",
       "  '#trader': 0.38841300615138696,\n",
       "  '#trading': 0.22810367131004095,\n",
       "  '#aapl': 0.06705903386997074,\n",
       "  'full-time': 0.3450913073663904,\n",
       "  '#fb': 0.38841300615138696,\n",
       "  'steps': 0.38841300615138696,\n",
       "  '#esignal': 0.38841300615138696,\n",
       "  '#gpro': 0.3450913073663904,\n",
       "  'towards': 0.38841300615138696},\n",
       " {'pilothouse': 0.6214608098422192,\n",
       "  'results': 0.6214608098422192,\n",
       "  '#mobility': 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  '@cisco': 0.5521460917862246,\n",
       "  'see': 0.4605170185988092,\n",
       "  'program': 0.5521460917862246,\n",
       "  '@att': 0.6214608098422192,\n",
       "  'loyal': 0.6214608098422192,\n",
       "  'customers': 0.5521460917862246},\n",
       " {'#oil': 0.39439006556158895,\n",
       "  '200': 0.36542827212529155,\n",
       "  '@optionmonster': 0.39439006556158895,\n",
       "  'also': 0.31591775922815263,\n",
       "  'lower': 0.32894072757057796,\n",
       "  'btw': 0.39439006556158895,\n",
       "  'reason': 0.44390057845872793,\n",
       "  'imho': 0.39439006556158895,\n",
       "  '@cnbcclosingbell': 0.44390057845872793,\n",
       "  '#boldstatement': 0.44390057845872793,\n",
       "  '#aapl': 0.07663889585139512,\n",
       "  'going': 0.6578814551411559,\n",
       "  'bottom': 0.39439006556158895},\n",
       " {'rt': 0.1534692610189296,\n",
       "  'antitrust': 0.34021912532262594,\n",
       "  'apple': 0.13276705605308092,\n",
       "  '...': 0.18522658528091324,\n",
       "  'trial': 0.26477072124480083,\n",
       "  'u': 0.25155147071198086,\n",
       "  '#aapl': 0.08253419553227168,\n",
       "  '@newsmintapp': 0.47804677680170704,\n",
       "  'steve': 0.23685491403792633,\n",
       "  'ipod': 0.34021912532262594,\n",
       "  'emails': 0.371408749023254,\n",
       "  'featured': 0.3935381392118525,\n",
       "  'jobs': 0.24027428038952892},\n",
       " {'education': 0.48283137373023016,\n",
       "  '#neo': 0.6214608098422192,\n",
       "  'slowdown': 0.6214608098422192,\n",
       "  '@google': 0.4422848629194137,\n",
       "  '@apple': 0.0452556715642015,\n",
       "  'ipad': 0.3575550768806933,\n",
       "  'u': 0.32701691192557514,\n",
       "  'market': 0.48283137373023016,\n",
       "  'beating': 0.5115995809754083,\n",
       "  'amid': 0.4422848629194137},\n",
       " {'even': 0.35572482911390657,\n",
       "  'customer': 0.35572482911390657,\n",
       "  'courtesy': 0.5178840082018492,\n",
       "  'said': 0.4263329841461735,\n",
       "  'much': 0.3685707190995114,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'see': 0.3837641821656743,\n",
       "  'stayed': 0.5178840082018492,\n",
       "  'reply': 0.5178840082018492,\n",
       "  'service': 0.344597213061863,\n",
       "  '@sonyuk': 0.5178840082018492,\n",
       "  'better': 0.3685707190995114},\n",
       " {'testify': 0.7768260123027739,\n",
       "  '@apple': 0.056569589455251874,\n",
       "  'trial': 0.43025242202280134,\n",
       "  'grave': 0.6901826147327808,\n",
       "  'beyond': 0.6901826147327808,\n",
       "  '@time': 0.7768260123027739,\n",
       "  'steve': 0.3848892353116303,\n",
       "  'jobs': 0.3904457056329845},\n",
       " {'susan': 0.5178840082018492,\n",
       "  'kare': 0.5178840082018492,\n",
       "  '@apple': 0.03771305963683458,\n",
       "  'young': 0.46012174315518717,\n",
       "  'legendary': 0.46012174315518717,\n",
       "  '2': 0.27701969504383556,\n",
       "  'designer': 0.46012174315518717,\n",
       "  'via': 0.2463759633667258,\n",
       "  'designers': 0.46012174315518717,\n",
       "  'simple': 0.46012174315518717,\n",
       "  'rules': 0.46012174315518717,\n",
       "  '@fastcodesign': 0.46012174315518717},\n",
       " {'#oil': 0.36809739452414975,\n",
       "  'rt': 0.13300669288307232,\n",
       "  '200': 0.34106638731693883,\n",
       "  '@optionmonster': 0.36809739452414975,\n",
       "  'also': 0.2948565752796091,\n",
       "  'lower': 0.30701134573253946,\n",
       "  'btw': 0.36809739452414975,\n",
       "  'imho': 0.36809739452414975,\n",
       "  '@ualdrivr': 0.4143072065614794,\n",
       "  '#aapl': 0.07152963612796878,\n",
       "  'going': 0.6140226914650789,\n",
       "  'counts': 0.4143072065614794,\n",
       "  'bottom': 0.36809739452414975,\n",
       "  'sold': 0.30701134573253946},\n",
       " {'inc': 0.48305639348085366,\n",
       "  'apple': 0.24656738981286455,\n",
       "  '#aapl': 0.15327779170279024,\n",
       "  'faster': 0.7887801311231779,\n",
       "  '5': 0.6098139927666969,\n",
       "  'companies': 0.6318355184563053,\n",
       "  'growing': 0.7887801311231779},\n",
       " {'woz': 0.7768260123027739,\n",
       "  'apple': 0.2157464660862565,\n",
       "  'tv': 0.6035392171627877,\n",
       "  'co-founder': 0.6394994762192603,\n",
       "  'reality': 0.6035392171627877,\n",
       "  '#aapl': 0.13411806773994148,\n",
       "  'going': 0.5756462732485115,\n",
       "  '...': 0.300993201081484},\n",
       " {'close': 0.6214608098422192,\n",
       "  'inc': 0.3381394754365976,\n",
       "  'december': 0.48283137373023016,\n",
       "  '02': 0.6214608098422192,\n",
       "  '#apple': 0.2364460496712133,\n",
       "  'apple': 0.17259717286900522,\n",
       "  '2014': 0.5115995809754083,\n",
       "  '#aapl': 0.10729445419195319,\n",
       "  '114.63': 0.6214608098422192,\n",
       "  'price': 0.3729701448634192},\n",
       " {'game': 0.41865183508982656,\n",
       "  'samsung': 0.5649643725838356,\n",
       "  '@samsung': 0.46509052815946206,\n",
       "  'supporters': 0.5649643725838356,\n",
       "  'large': 0.5649643725838356,\n",
       "  'announcement': 0.5649643725838356,\n",
       "  '2': 0.3022033036841843,\n",
       "  '#aapl': 0.09754041290177562,\n",
       "  'screen': 0.5019509925329315,\n",
       "  'following': 0.5019509925329315,\n",
       "  'criticized': 0.5649643725838356},\n",
       " {'@microsoft': 0.6214608098422192,\n",
       "  'level': 0.5115995809754083,\n",
       "  '@billgates': 0.6214608098422192,\n",
       "  'taking': 0.5521460917862246,\n",
       "  'bluetooth': 0.6214608098422192,\n",
       "  'calling': 0.6214608098422192,\n",
       "  'whole': 0.6214608098422192,\n",
       "  'new': 0.3218875824868201,\n",
       "  \"we're\": 0.6214608098422192,\n",
       "  '@apple': 0.0452556715642015}]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TFIDF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For convenience, extract the word_dict and word_list from the TFIDF matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "word_list = list(corpus.vocab().keys())\n",
    "word_dict = dict(zip(word_list, np.arange(len(word_list))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We have 1939 words in our vocabulary\n"
     ]
    }
   ],
   "source": [
    "vocabulary_size = len(word_dict)\n",
    "print(\"We have\", vocabulary_size, \"words in our vocabulary\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['cat',\n",
       " 'chews',\n",
       " '@apple',\n",
       " 'cords',\n",
       " '#applesnob',\n",
       " 'nobody',\n",
       " 'expects',\n",
       " 'spanish',\n",
       " 'inquisition',\n",
       " '#aapl']"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_list[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now use the TFIDF matrix and our vocabulary to generate the Term Document matrix. This is just a matter of rearranging the values in our (sparse) TFIDF matrix into the full TD matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def term_document_matrix(TFIDF, word_list, word_dict):\n",
    "    vocabulary_size = len(word_dict)\n",
    "    number_documents = len(TFIDF)\n",
    "    \n",
    "    TDM = np.zeros((vocabulary_size, number_documents))\n",
    "    \n",
    "    for doc in range(number_documents):\n",
    "        document = TFIDF[doc]\n",
    "        \n",
    "        for word in document.keys():\n",
    "            pos = word_dict[word]\n",
    "            \n",
    "            TDM[pos, doc] = document[word]\n",
    "            \n",
    "    return TDM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our dataset has:\n",
      "1939 unique words\n",
      "500 documents\n"
     ]
    }
   ],
   "source": [
    "TDM = term_document_matrix(TFIDF, word_list, word_dict)\n",
    "print(\"Our dataset has:\\n%u unique words\\n%u documents\"%(TDM.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1939, 500)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TDM.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explicit Semantic Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In ESA we use the TD matrix of our corpus as a knowledge base that we can use to look up related documents. To demonstrate how this works, let's create a new document:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_tweet = ['#macbook', 'mini', 'rocket']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is not an actual sentence since, for clarity, we are not including stopwords.\n",
    "\n",
    "In the TD formulation, the values in the word (row) vector representa how much each document is \"activated\" by that specific word. Naturally, documents in which the word does not appear have weight zero. We can use these word vectors to find a vector representation of our new document where each value is our related it is to every other document in our knowledge base. You can think of this as the set of results one might obtain after a query in a search engine!\n",
    "\n",
    "The **find_related** simply calcuates the vector corresponding to the new \"document\" and returns a list of the corresponding weights sorted in decreasing order:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_related_docs(tweet, TDM):\n",
    "    new_vector = np.zeros(TDM.shape[1])\n",
    "    \n",
    "    for word in tweet:\n",
    "        pos = word_dict[word]\n",
    "        new_vector += TDM[pos, :]\n",
    "        \n",
    "    # Now the entries of new_vector tell us which documents are activated by this one.\n",
    "    # Let's extract the list of documents sorted by activation\n",
    "    doc_list = sorted(zip(range(TDM.shape[1]), new_vector), \n",
    "                      key=lambda x:x[1], reverse=True)\n",
    "    \n",
    "    return doc_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "related = find_related_docs(new_tweet, TDM)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look a the top 5 results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6905120109357991 2 #aapl 5 rocket stocks buy december gains apple ...\n",
      "0.59313210196533 167 ipad mini unboxing via @youtube @apple #ipadmini #ipad #macbook #macbookpro #startup #hipster #unboxing\n",
      "0.59313210196533 191 ipad mini unboxing via @youtube @apple #ipadmini #ipad #macbook #macbookpro #startup #hipster #unboxing\n",
      "0.59313210196533 388 ipad mini unboxing via @youtube @apple #ipadmini #ipad #macbook #macbookpro #startup #hipster #unboxing\n",
      "0.5140478217032859 168 ipad mini first time startup via @youtube @apple #ipadmini #ipad #macbook #macbookpro #startup #hipster #unbox\n"
     ]
    }
   ],
   "source": [
    "for tweet, score in related[:5]:\n",
    "    print(score, tweet, \" \".join(tweets[tweet]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With such small documents, the results are easy to interpret. The first two result are due to mentions of **macbook** and **mini**, the third due to the presence of the word **rocket** but the remaining two results don't include any words in common with our original tweet, just words that appear in similar contexts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_similar_words(tweet, TDM):\n",
    "    new_vector = np.zeros(TDM.shape[1])\n",
    "    \n",
    "    for word in tweet:\n",
    "        pos = word_dict[word]\n",
    "        new_vector += TDM[pos, :]\n",
    "    \n",
    "    sim = [cosine_similarity(new_vector.reshape(1, -1), \n",
    "                             TDM[i, :].reshape(1, -1)).flatten()[0] for i in range(TDM.shape[0])]\n",
    "\n",
    "    sim_words = sorted(zip(range(TDM.shape[0]), sim), \n",
    "                       key=lambda x:x[1], reverse=True)\n",
    "    return sim_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "similar = find_similar_words(new_tweet, TDM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#macbook', 'mini', 'rocket']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_tweet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#macbook: 0.8216\n",
      "@youtube: 0.805338\n",
      "#startup: 0.805338\n",
      "#hipster: 0.805338\n",
      "mini: 0.787466\n",
      "#ipadmini: 0.765211\n",
      "#macbookpro: 0.680949\n",
      "unboxing: 0.605678\n",
      "#unboxing: 0.605678\n",
      "startup: 0.530861\n",
      "#unbox: 0.50116\n",
      "#ipad: 0.467151\n",
      "via: 0.452331\n",
      "ipad: 0.420346\n",
      "first: 0.401098\n",
      "rocket: 0.388672\n",
      "gains: 0.388672\n",
      "pro: 0.3433\n",
      "13in: 0.290492\n",
      "jh: 0.2691\n"
     ]
    }
   ],
   "source": [
    "for word, score in similar[:20]:\n",
    "    print(\"%s: %g\" % (word_list[word], score))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This approach also returns words that are not included in the document but that are used in a similar context, such as #hipster. One might use this extra words (above some finetuned threshold of similarity) to expand our query and retrieve furhter related documents."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clustering Documents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For simplicity we use the AgglomerativeClustering algorithm from sklearn and the visualization code from https://scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_dendrogram.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_dendrogram(model, **kwargs):\n",
    "    # Create linkage matrix and then plot the dendrogram\n",
    "\n",
    "    # create the counts of samples under each node\n",
    "    counts = np.zeros(model.children_.shape[0])\n",
    "    n_samples = len(model.labels_)\n",
    "    for i, merge in enumerate(model.children_):\n",
    "        current_count = 0\n",
    "        for child_idx in merge:\n",
    "            if child_idx < n_samples:\n",
    "                current_count += 1  # leaf node\n",
    "            else:\n",
    "                current_count += counts[child_idx - n_samples]\n",
    "        counts[i] = current_count\n",
    "\n",
    "    linkage_matrix = np.column_stack([model.children_, model.distances_,\n",
    "                                      counts]).astype(float)\n",
    "\n",
    "    # Plot the corresponding dendrogram\n",
    "    dendrogram(linkage_matrix, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define an train the model. For the sake of visualization, we limit ourselves to just 50 documents instead of the whole set. Also note that we must use the transpose of the TDM matrix to ensure that we are clustering documents and not tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# setting distance_threshold=0 ensures we compute the full tree.\n",
    "model = AgglomerativeClustering(distance_threshold=0, n_clusters=None)\n",
    "model = model.fit(TDM.T[:50])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can confirm that we have the right number of features (tokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1939"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.n_features_in_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we plot the dendrogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3840x2640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_dendrogram(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Latent Semantic Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LSA analysis, sometimes refered to as Latent Semantic Indexing, relies on the well known Singular Value Decomposition. Singular Values (and Singular Vectors) can be thought of as being a generalization of the more common eigenvalues (and eigenvectors) for the case of non-square matrices. \n",
    "\n",
    "The first step in any LSA analysis is to apply SVD to the Term-Document matrix:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "u, sigma, vt = svd(TDM)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The resulting matrices have the expected shapes, except the singular value matrix, **sigma** that is simply a vector. This is an optimization of the numpy function meant to save memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1939, 1939) (500,) (500, 500)\n"
     ]
    }
   ],
   "source": [
    "m, n = TDM.shape\n",
    "print(u.shape, sigma.shape, vt.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1939 500\n"
     ]
    }
   ],
   "source": [
    "print(m, n)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now reduce the internal dimension of these matrices to, say, 10. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "k = 20\n",
    "\n",
    "# Convert the vector of singular values into a diagonal matrix\n",
    "sigma_k = sigma[:k]\n",
    "Sk = diag(sigma_k)\n",
    "\n",
    "# Drop the extraneous dimensions in the other two matrices.\n",
    "uk = u[:,:k]\n",
    "vtk = vt[:k, :]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this way, we preserve the most significant (higher sigma values) latent dimensions of the dataset while discarding the rest. The idea is simple, SVD projects the original dataset into an internal space which is a linear combination of the original one. Each dimension in this space can be thought of as an underlying topic in the data. By preserving only the most dominant topics in effect we are simplifying the data and, potentially, removing noise. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1939, 20) (20, 20) (20, 500)\n"
     ]
    }
   ],
   "source": [
    "print(uk.shape, Sk.shape, vtk.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are no easy ways to determine the number of topics to choose, but a good rule of thumb is to identify kinks in the values of sigma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '$\\\\sigma_i$')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3840x2640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(500), sigma, '*')\n",
    "plt.xlabel('Component (i)')\n",
    "plt.ylabel(r'$\\sigma_i$')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also explore the way in which the topics are defined by considering the words for which they have stronger weights:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sort the list of words by the weight they have in a specific topic\n",
    "def top_words(vector, word_list):\n",
    "    doc_list = sorted(zip(word_list, vector), key=lambda x:x[1], reverse=True)\n",
    "    \n",
    "    return doc_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For example, for topic 1, we have strong mentions of the justice department and a recent federal law decision about unlocking iphones:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#aapl 0.19701679703511776\n",
      "apple 0.1585114483699366\n",
      "aapl 0.14679701886080104\n",
      "intraday 0.11447582430825816\n",
      "update 0.11057149089863892\n",
      "fibonacci 0.10927839408117533\n",
      "technicals 0.10927839408117533\n",
      "levels 0.10927839408117533\n",
      "#apple 0.0744626515104846\n",
      "... 0.07382058498320156\n"
     ]
    }
   ],
   "source": [
    "topic_words = top_words(uk[:,1], word_list)\n",
    "for word, weight in topic_words[:10]:\n",
    "    print(word, weight)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On the other hand, if we were trying to map a specific sentence or document into the most relevant topic we would simply have to project it into the singular space. First we define the vector in the \"regular\" word space:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "document = ['ipad', 'mini', 'price']\n",
    "\n",
    "doc_vector = np.zeros(vocabulary_size)\n",
    "for word in document:\n",
    "    doc_vector[word_dict[word]] += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and now we project it into the singular space:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "array([ 0.02795687,  0.01210723,  0.00019639, -0.00096848,  0.01986759,\n",
      "       -0.00152401, -0.02277111,  0.06085907,  0.0134054 ,  0.03140215,\n",
      "        0.00564585,  0.0869532 ,  0.03682714, -0.00405679,  0.01681271,\n",
      "        0.01352978, -0.0132486 ,  0.02266492, -0.01178019, -0.00777679])\n"
     ]
    }
   ],
   "source": [
    "doc_singular = 1/sigma_k*np.dot(uk.T, doc_vector)\n",
    "pprint(doc_singular)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From where we see that the most relevant topic is topic number 11:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n",
      "thank 0.29774557331500257\n",
      "#macbookpro 0.2590956505044592\n",
      "via 0.24120410802252018\n",
      "@youtube 0.23935595752768016\n",
      "#startup 0.23935595752768016\n",
      "#hipster 0.23935595752768016\n",
      "#macbook 0.2348065818863645\n",
      "yall 0.172030786511247\n",
      "unboxing 0.15616835737157644\n",
      "#unboxing 0.15616835737157644\n",
      "ipad 0.14586152423301685\n",
      "pro 0.14031754192025112\n",
      "mini 0.13966101518736235\n",
      "#ipadmini 0.13721958345536522\n",
      "update 0.13650380565448697\n",
      "#ipad 0.13097471890592294\n",
      "headphones 0.13031555454628813\n",
      "startup 0.12767076037561487\n",
      "hoes 0.1270331432809368\n",
      "first 0.1242343861347413\n"
     ]
    }
   ],
   "source": [
    "topic = np.argmax(doc_singular)\n",
    "\n",
    "print(topic)\n",
    "\n",
    "topic_words = top_words(uk[:,topic], word_list)\n",
    "for word, weight in topic_words[:20]:\n",
    "    print(word, weight)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Which indeed seems relevant."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Latent Dirichlett Allocation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LatentDirichletAllocation(n_components=15, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LatentDirichletAllocation<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html\">?<span>Documentation for LatentDirichletAllocation</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LatentDirichletAllocation(n_components=15, random_state=42)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "LatentDirichletAllocation(n_components=15, random_state=42)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lda = LatentDirichletAllocation(n_components = 15, random_state = 42)\n",
    "lda.fit(TDM.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15, 1939)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lda.components_.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Topic 1: digital, claims, long, #tuesday, lol, #passingthetime, #interestingfact, #whoknew, drop, dying\n",
      "Topic 2: customer, companies, hoes, band, brass, @donacamp, #nyc, #winterseve, broadway, #aapl\n",
      "Topic 3: pro, unboxing, #unboxing, #ipad, via, #macbookpro, #hipster, @youtube, #startup, #macbook\n",
      "Topic 4: rt, headphones, new, @ace_kit_uk, apple, macbook, thank, 949.86, £, â\n",
      "Topic 5: contra, juicio, en, clave, aapl, update, intraday, fibonacci, technicals, levels\n",
      "Topic 6: iphones, @thehill, unlock, law, federal, department, cites, 18th, century, get\n",
      "Topic 7: dual, pie, perfome, unlike, @apple, dear, fix, fuck, apps, #ipodtouch5thgen\n",
      "Topic 8: demand, @_iamgambino, lighting, #gorgeous, #grandcentralstation, via, back, boost, strong, thestreet\n",
      "Topic 9: u, #stevejobs, phone, @laurrynk, everything, h8, battery, replace, dear, sucks\n",
      "Topic 10: peanut-butter-sandwich, download, pre-opening, 2, photo, phones, ur, salut, @kcdenton, disgrace\n",
      "Topic 11: screenshot, @timcook, analyst, @jimcramer, take, selling, shares, crest's, reiterates, going\n",
      "Topic 12: popular, besides, #biggerisbetter, mega, launching, rumoured, tab, iphone, shit, pieces\n",
      "Topic 13: love, emails, computers, heads, ..., #aapl, right, trial, steve, jobs\n",
      "Topic 14: raised, peaked, here's, aapl, buy, dropped, genuity, canaccord, #aapl, apple's\n",
      "Topic 15: missed, link, ..., could, much, apple, reasons, yesterday, fallen, 6\n"
     ]
    }
   ],
   "source": [
    "for i, topic in enumerate(lda.components_):\n",
    "        print(\"Topic {}: {}\".format(i + 1, \", \".join([str(x) for x in np.array(word_list)[topic.argsort()[-10:]]])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Non-Negative Matrix Factorization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The idea behind applying NMF to a Term-Document Matrix is similar to the goals behind using SVD to perform Latent Semantic Analysis. NMF is a general matrix factorization algorithm and, as such, the factor matrices it finds can also be thought of as internal or latent dimensions. \n",
    "\n",
    "Similarly to the case of SVD, we can perform a partial reconstruction of the original matrix by reducing the internal dimensions. Naturally, as the number of latent dimensions increases, the reconstruction error decreases since we are removing less and less information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see how the error changes with the number of components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 34.92909306484734\n",
      "3 34.758851424851024\n",
      "4 34.594745844890824\n",
      "5 34.436737900392515\n",
      "6 34.28335461027869\n",
      "7 34.14185713658919\n",
      "8 34.00701514360202\n",
      "9 33.87369601201016\n",
      "10 33.73767691122376\n",
      "11 33.598765542683694\n",
      "12 33.46638000148457\n",
      "13 33.3356545642999\n",
      "14 33.211814073284906\n",
      "15 33.08995461768385\n",
      "16 32.970229539080144\n",
      "17 32.85159942487461\n",
      "18 32.73792849590576\n",
      "19 32.622367241648405\n",
      "20 32.51443689388273\n",
      "21 32.402710901207726\n",
      "22 32.29287793137945\n",
      "23 32.18684845736615\n",
      "24 32.08185351471789\n",
      "25 31.97725491546401\n",
      "26 31.873807227854087\n",
      "27 31.775572223035013\n",
      "28 31.678209037932756\n",
      "29 31.57623546422264\n",
      "30 31.474288182247875\n",
      "31 31.374592118821898\n",
      "32 31.277092414039277\n",
      "33 31.170837738945572\n",
      "34 31.082422761529184\n",
      "35 30.98815193039441\n",
      "36 30.89097282902883\n",
      "37 30.795278375001015\n",
      "38 30.698485878308365\n",
      "39 30.60408299592481\n",
      "40 30.508037312382818\n",
      "41 30.41251622720445\n",
      "42 30.340375633114576\n",
      "43 30.231661095131507\n",
      "44 30.159060180988607\n",
      "45 30.053775651699706\n",
      "46 29.98673942860629\n",
      "47 29.876005317850385\n",
      "48 29.81381816999091\n",
      "49 29.723261919319622\n",
      "50 29.65174843947812\n",
      "51 29.5502033398345\n",
      "52 29.500253980449912\n",
      "53 29.377025987872038\n",
      "54 29.320024763724547\n",
      "55 29.23820042234507\n"
     ]
    }
   ],
   "source": [
    "error = []\n",
    "\n",
    "for comps in range(2, 55+1):\n",
    "    nmf = NMF(n_components=comps, init='nndsvd', max_iter=2000).fit(TDM.T)\n",
    "    print(comps, nmf.reconstruction_err_)\n",
    "    error.append(nmf.reconstruction_err_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Any nan values found above are due to numerical instabilities. In practice you should use a well tested numerical library such as sklearn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Non-Negative Matrix Factorization')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3840x2640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(2, 55+1), error)\n",
    "plt.xlabel('Number of Components')\n",
    "plt.ylabel('Reconstruction Error')\n",
    "plt.title('Non-Negative Matrix Factorization')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the remainder of this section, lets fix the number of so that we can use these results to illustrate the power of NMF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmf = NMF(n_components=10, init='nndsvd', max_iter=2000)\n",
    "W = nmf.fit_transform(TDM.T)\n",
    "H = nmf.components_\n",
    "err = nmf.reconstruction_err_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500, 10)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "W.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we apply NMF to a Term-Document matrix, as defined above, the resulting factors prove useful for topic detection. In particular, the W matrix provides us with the definition of each topic as a weighted distribution over all the words in the corpus:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at a the top words for each topic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Topic 1: @jpdesloges, last, #aapl, apple, aapl, update, fibonacci, technicals, levels, intraday\n",
      "Topic 2: @thehill, iphones, justice, unlock, law, century, cites, department, federal, 18th\n",
      "Topic 3: @apple, right, imessage, acid, yo, shitty, 3g, draining, @remuuusss, fix\n",
      "Topic 4: comparison, #design, drop, ios, rendition, audio, requirement, @apple, apps, #ipodtouch5thgen\n",
      "Topic 5: @youtube, #macbookpro, #macbook, rt, apple, @ace_kit_uk, macbook, £, â, 949.86\n",
      "Topic 6: @apple, replace, sucks, keeps, freezing, hate, faggots, dear, phone, fucking\n",
      "Topic 7: peaked, 6, #iphone, aapl, inc, cnbctv, apple, ..., #apple, #aapl\n",
      "Topic 8: emails, trial, rt, @elnuevoherald, contra, juicio, en, clave, steve, jobs\n",
      "Topic 9: music, @apple, breaking, @brwnskin_beauti, cause, lol, shit, dying, hey, fuck\n",
      "Topic 10: people, @_iamgambino, rt, @apple, thank, @jodispicer, #passingthetime, #interestingfact, #whoknew, twitter\n"
     ]
    }
   ],
   "source": [
    "for i, topic in enumerate(H):\n",
    "    print(\"Topic {}: {}\".format(i + 1, \", \".join([str(x) for x in np.array(word_list)[topic.argsort()[-10:]]])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>\n",
    "     <img src=\"data/D4Sci_logo_full.png\" alt=\"Data For Science, Inc\" align=\"center\" border=\"0\" width=300px> \n",
    "</center>"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}