stemming.ipynb

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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import json\n",
      "import numpy as np\n",
      "f = open('data/gamespot.json')\n",
      "data = json.load(f)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rev_list = np.array([g['summary'] for g in data])\n",
      "scores = np.array([g['score'] for g in data]).astype(float)\n",
      "\n",
      "# get rid of empty reviews\n",
      "\n",
      "u, ind_u = np.unique(rev_list, return_index=True)\n",
      "rev_list = rev_list[ind_u]\n",
      "scores = scores[ind_u]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sklearn.feature_extraction.text import CountVectorizer"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# this token_pattern gets rid of non-alphabetical characters\n",
      "vectorizer_alph_only = CountVectorizer(min_df=0.001, token_pattern=ur'\\b[a-zA-Z][a-zA-Z]+\\b')\n",
      "vectorizer_alph_only.fit(rev_list)\n",
      "words_alph_only = np.array(vectorizer_alph_only.get_feature_names())\n",
      "\n",
      "vectorizer = CountVectorizer(min_df=0.001)\n",
      "vectorizer.fit(rev_list)\n",
      "words = np.array(vectorizer.get_feature_names())\n",
      "garbage = set(words).difference(set(words_alph_only))\n",
      "for g in garbage:\n",
      "    print g,\n",
      "    \n",
      "print '\\n' + '*'*40 + '\\nnumber of features after removing garbage : ', len(words_alph_only)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "f1 2k7 2k3 039 64 ps2 4x4 90s 06 07 08 09 40 80s 360 3d n64 99 98 20 97 10 13 12 15 2002 16 pok\u00e9mon 30 2d 2003 2000 2001 2006 2007 2004 2005 2008 \n",
        "****************************************\n",
        "number of features after removing garbage :  2021\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from nltk.tokenize import RegexpTokenizer\n",
      "tokenizer = RegexpTokenizer(ur'\\b[a-zA-Z][a-zA-Z]+\\b')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from nltk.stem.porter import PorterStemmer\n",
      "stemmer = PorterStemmer()\n",
      "rev_list_stemmed = []\n",
      "for rev in rev_list:\n",
      "    tokens = tokenizer.tokenize(rev)\n",
      "    stemmed = \"\"\n",
      "    for token in tokens:\n",
      "        stemmed = stemmed + \" \" + stemmer.stem(token)\n",
      "    rev_list_stemmed.append(stemmed)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def print_raw_stemmed(ix):\n",
      "    print \"RAW\"\n",
      "    print rev_list[ix]\n",
      "    print \"STEMMED\"\n",
      "    print rev_list_stemmed[ix] + '\\n'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print_raw_stemmed(100)\n",
      "print '*'*40\n",
      "print_raw_stemmed(500)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "RAW\n",
        " A feature-heavy game that has adequate play control and graphics.\n",
        "STEMMED\n",
        " featur heavi game that ha adequ play control and graphic\n",
        "\n",
        "****************************************\n",
        "RAW\n",
        " Almost all of its components are average at best, and unlike other games in this genre, it lacks any one outstanding feature or notable aspect.\n",
        "STEMMED\n",
        " Almost all of it compon are averag at best and unlik other game in thi genr it lack ani one outstand featur or notabl aspect\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "vectorizer_stemmed = CountVectorizer(min_df=0.001, token_pattern=ur'\\b[a-zA-Z][a-zA-Z]+\\b')\n",
      "vectorizer_stemmed.fit(rev_list_stemmed)\n",
      "words_stemmed = np.array(vectorizer_stemmed.get_feature_names())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'number of features after removing garbage and stemming : ', len(words_stemmed)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "number of features after removing garbage and stemming :  1815\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for i, word in enumerate(words_stemmed):\n",
      "    if (i % 5)==0:\n",
      "        print '\\n'\n",
      "    print word,"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n",
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        "\n",
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        "deepli defens definit delight deliv \n",
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        "driven driver drop ds dual \n",
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        "due duke dull dumb dungeon \n",
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        "duti dynam dynasti ea each \n",
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        "earli earlier earn earth eas \n",
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        "easi easier easili edg edit \n",
        "\n",
        "effect effort eight either eleg \n",
        "\n",
        "element elev elit els elsewher \n",
        "\n",
        "em emerg emot emphasi empir \n",
        "\n",
        "emul enchant end endear endless \n",
        "\n",
        "enemi energi engag engin engross \n",
        "\n",
        "enhanc enjoy enough entertain enthral \n",
        "\n",
        "enthusiast entic entir entri environ \n",
        "\n",
        "epic episod equal era escap \n",
        "\n",
        "especi espn essenc essenti establish \n",
        "\n",
        "even event ever everi everyon \n",
        "\n",
        "everyth evil evolut evolv exactli \n",
        "\n",
        "exampl excel except excit exclus \n",
        "\n",
        "excus execut exercis exhilar exist \n",
        "\n",
        "expand expans expect experi experienc \n",
        "\n",
        "explor explos extend extra extraordinari \n",
        "\n",
        "extrem eye fabl face fact \n",
        "\n",
        "faction fail fair fairli faith \n",
        "\n",
        "fall famili familiar fan fanat \n",
        "\n",
        "fanci fantasi fantast far fare \n",
        "\n",
        "fashion fast fate fault favor \n",
        "\n",
        "favorit featur feel few fi \n",
        "\n",
        "fiction field fifa fight fighter \n",
        "\n",
        "fill film final find fine \n",
        "\n",
        "finest finish fire first fish \n",
        "\n",
        "fit five fix flair flashi \n",
        "\n",
        "flat flavor flaw fleet fli \n",
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        "flight focu focus follow footbal \n",
        "\n",
        "for forc forget forgett forgiv \n",
        "\n",
        "form formula fortun forward found \n",
        "\n",
        "foundat four fox frame franchis \n",
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        "frantic free freedom freestyl frenet \n",
        "\n",
        "frequent fresh friend friendli frill \n",
        "\n",
        "from front frustrat full fulli \n",
        "\n",
        "fun function fundament funni further \n",
        "\n",
        "futur futurist gage galaxi game \n",
        "\n",
        "gamecub gameplay gamer gate gba \n",
        "\n",
        "gear gem gener genr genuin \n",
        "\n",
        "get ghost giant give given \n",
        "\n",
        "glare glitch glori go goal \n",
        "\n",
        "god goe gold golden golf \n",
        "\n",
        "gone good goofi gorgeou gori \n",
        "\n",
        "got grace grand graphic great \n",
        "\n",
        "greatest greatli grind ground group \n",
        "\n",
        "grow gt guitar gun gundam \n",
        "\n",
        "ha hack had half hamper \n",
        "\n",
        "hand handheld handl hang happen \n",
        "\n",
        "happi hard hardcor hardli hardwar \n",
        "\n",
        "harri harvest hasn haunt have \n",
        "\n",
        "haven hawk hd he head \n",
        "\n",
        "heap heart heat heavi held \n",
        "\n",
        "hell help here hero hi \n",
        "\n",
        "hidden hide high higher highli \n",
        "\n",
        "highlight hill histor histori hit \n",
        "\n",
        "hockey hold hole home honor \n",
        "\n",
        "hook hoop hope horribl horror \n",
        "\n",
        "host hot hour how howev \n",
        "\n",
        "huge human humor hunt hunter \n",
        "\n",
        "hurt hybrid idea ideal ident \n",
        "\n",
        "if ignor ii iii imagin \n",
        "\n",
        "immedi immers impact implement import \n",
        "\n",
        "imposs impress improv in includ \n",
        "\n",
        "inclus inconsist incred infin infinit \n",
        "\n",
        "initi innov insan inspir instal \n",
        "\n",
        "instead intact integr intellig intens \n",
        "\n",
        "interact interest interfac intern into \n",
        "\n",
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        "\n",
        "invad invent invest invit involv \n",
        "\n",
        "iron irrit is island isn \n",
        "\n",
        "issu it iter itself iv \n",
        "\n",
        "jack jam japanes job journey \n",
        "\n",
        "joy jump just justic justifi \n",
        "\n",
        "kart keep key kick kid \n",
        "\n",
        "kill killer kind kinect king \n",
        "\n",
        "kingdom knight know known kombat \n",
        "\n",
        "konami kong lack lacklust lame \n",
        "\n",
        "land larg last late later \n",
        "\n",
        "latest laugh launch lead leagu \n",
        "\n",
        "leap learn least leav left \n",
        "\n",
        "legaci legend legion lego length \n",
        "\n",
        "lengthi less let level librari \n",
        "\n",
        "licens life lifeless light lightheart \n",
        "\n",
        "like limit line link list \n",
        "\n",
        "littl live ll load local \n",
        "\n",
        "logic long longer longev longtim \n",
        "\n",
        "look looney loot lord lose \n",
        "\n",
        "lost lot lousi love low \n",
        "\n",
        "machin mad madden made magic \n",
        "\n",
        "main maintain major make man \n",
        "\n",
        "manag mani mania map mar \n",
        "\n",
        "margin mario mark market marvel \n",
        "\n",
        "mash mask massiv master match \n",
        "\n",
        "materi matter max may mayhem \n",
        "\n",
        "mcrae me mean meaning measur \n",
        "\n",
        "mech mechan medal mediocr meet \n",
        "\n",
        "mega memor memori men mere \n",
        "\n",
        "merit mess metal micromanag microsoft \n",
        "\n",
        "middl midway might militari mill \n",
        "\n",
        "mind mindless minigam minor minut \n",
        "\n",
        "miser miss mission mix mlb \n",
        "\n",
        "mobil mode model modern moment \n",
        "\n",
        "money monoton monster month moon \n",
        "\n",
        "more mortal most mostli motion \n",
        "\n",
        "motocross motogp motorcycl move movi \n",
        "\n",
        "mr much multiplay mundan murder \n",
        "\n",
        "music must mutant myst mysteri \n",
        "\n",
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        "\n",
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        "\n",
        "ncaa ne nearli neat necessarili \n",
        "\n",
        "need neither neo network never \n",
        "\n",
        "new newcom next nfl nhl \n",
        "\n",
        "nice night nightmar ninja nintendo \n",
        "\n",
        "no none nonetheless nor nostalg \n",
        "\n",
        "nostalgia not notabl notch noteworthi \n",
        "\n",
        "noth notic novel novelti novic \n",
        "\n",
        "now number numer object obviou \n",
        "\n",
        "occasion odd of off offer \n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
        "overwhelm own owner pac pace \n",
        "\n",
        "pacif pack packag pain paint \n",
        "\n",
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        "\n",
        "perfect perfectli perform perhap period \n",
        "\n",
        "person perspect pga phone physic \n",
        "\n",
        "pick piec pilot pinbal pirat \n",
        "\n",
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        "\n",
        "platform play playabl player playstat \n",
        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
        "return reveng reviv revolut revolutionari \n",
        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
        "rome romp room root roster \n",
        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
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        "\n",
        "sega select sell sens sequel \n",
        "\n",
        "sequenc seri seriou serious serv \n",
        "\n",
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        "\n",
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        "skate skateboard skater skill sky \n",
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        "\n",
        "solv some somehow someon someth \n",
        "\n",
        "sometim somewhat song soni sonic \n",
        "\n",
        "soon sophist sort soul sound \n",
        "\n",
        "soundtrack sourc space special specif \n",
        "\n",
        "spectacular speed spend spent spi \n",
        "\n",
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     "prompt_number": 11
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   ],
   "metadata": {}
  }
 ]
}