Tokenizing words and sentences.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mary Had a Little Lamb. Little lamb. Little Lamb.\n"
     ]
    }
   ],
   "source": [
    "text = \"Mary Had a Little Lamb. Little lamb. Little Lamb.\"\n",
    "print(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nltk.tokenize import word_tokenize, sent_tokenize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Mary Had a Little Lamb.', 'Little lamb.', 'Little Lamb.']\n"
     ]
    }
   ],
   "source": [
    "sents = sent_tokenize(text)\n",
    "print(sents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Mary', 'Had', 'a', 'Little', 'Lamb', '.'],\n",
       " ['Little', 'lamb', '.'],\n",
       " ['Little', 'Lamb', '.']]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words = [word_tokenize(sent) for sent in sents]\n",
    "words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nltk.corpus import stopwords\n",
    "from string import punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "customStopWords  = set(stopwords.words('english')+list(punctuation))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Mary', 'Had', 'Little', 'Lamb', 'Little', 'lamb', 'Little', 'Lamb']\n"
     ]
    }
   ],
   "source": [
    "wordsWOStopWords = [word for word in word_tokenize(text) if word not in customStopWords]\n",
    "print(wordsWOStopWords)"
   ]
  }
 ],
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