Add notebooks

Author: susanli2016

Diff for: Advanced NLP Tasks with NLTK.ipynb

@@ -0,0 +1,85 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MD: modal auxiliary\n",
+      "    can cannot could couldn't dare may might must need ought shall should\n",
+      "    shouldn't will would\n"
+     ]
+    }
+   ],
+   "source": [
+    "import nltk\n",
+    "nltk.help.upenn_tagset('MD')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('Children', 'NNP'),\n",
+       " (\"should't\", 'VBZ'),\n",
+       " ('drink', 'VB'),\n",
+       " ('a', 'DT'),\n",
+       " ('sugary', 'JJ'),\n",
+       " ('drink', 'NN'),\n",
+       " ('before', 'IN'),\n",
+       " ('bed', 'NN'),\n",
+       " ('.', '.')]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# POS tagging with NLTK\n",
+    "text11 = \"Children should't drink a sugary drink before bed.\"\n",
+    "text13 = nltk.word_tokenize(text11)\n",
+    "nltk.pos_tag(text13)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}