Sentiment Classification - Mini Project 3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sentiment Classification & How To \"Frame Problems\" for a Neural Network\n",
    "\n",
    "by Andrew Trask\n",
    "\n",
    "- **Twitter**: @iamtrask\n",
    "- **Blog**: http://iamtrask.github.io"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What You Should Already Know\n",
    "\n",
    "- neural networks, forward and back-propagation\n",
    "- stochastic gradient descent\n",
    "- mean squared error\n",
    "- and train/test splits\n",
    "\n",
    "### Where to Get Help if You Need it\n",
    "- Re-watch previous Udacity Lectures\n",
    "- Leverage the recommended Course Reading Material - [Grokking Deep Learning](https://www.manning.com/books/grokking-deep-learning) (40% Off: **traskud17**)\n",
    "- Shoot me a tweet @iamtrask\n",
    "\n",
    "\n",
    "### Tutorial Outline:\n",
    "\n",
    "- Intro: The Importance of \"Framing a Problem\"\n",
    "\n",
    "\n",
    "- Curate a Dataset\n",
    "- Developing a \"Predictive Theory\"\n",
    "- **PROJECT 1**: Quick Theory Validation\n",
    "\n",
    "\n",
    "- Transforming Text to Numbers\n",
    "- **PROJECT 2**: Creating the Input/Output Data\n",
    "\n",
    "\n",
    "- Putting it all together in a Neural Network\n",
    "- **PROJECT 3**: Building our Neural Network\n",
    "\n",
    "\n",
    "- Understanding Neural Noise\n",
    "- **PROJECT 4**: Making Learning Faster by Reducing Noise\n",
    "\n",
    "\n",
    "- Analyzing Inefficiencies in our Network\n",
    "- **PROJECT 5**: Making our Network Train and Run Faster\n",
    "\n",
    "\n",
    "- Further Noise Reduction\n",
    "- **PROJECT 6**: Reducing Noise by Strategically Reducing the Vocabulary\n",
    "\n",
    "\n",
    "- Analysis: What's going on in the weights?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "56bb3cba-260c-4ebe-9ed6-b995b4c72aa3"
    }
   },
   "source": [
    "# Lesson: Curate a Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "eba2b193-0419-431e-8db9-60f34dd3fe83"
    }
   },
   "outputs": [],
   "source": [
    "def pretty_print_review_and_label(i):\n",
    "    print(labels[i] + \"\\t:\\t\" + reviews[i][:80] + \"...\")\n",
    "\n",
    "g = open('reviews.txt','r') # What we know!\n",
    "reviews = list(map(lambda x:x[:-1],g.readlines()))\n",
    "g.close()\n",
    "\n",
    "g = open('labels.txt','r') # What we WANT to know!\n",
    "labels = list(map(lambda x:x[:-1].upper(),g.readlines()))\n",
    "g.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25000"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(reviews)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "bb95574b-21a0-4213-ae50-34363cf4f87f"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'bromwell high is a cartoon comedy . it ran at the same time as some other programs about school life  such as  teachers  . my   years in the teaching profession lead me to believe that bromwell high  s satire is much closer to reality than is  teachers  . the scramble to survive financially  the insightful students who can see right through their pathetic teachers  pomp  the pettiness of the whole situation  all remind me of the schools i knew and their students . when i saw the episode in which a student repeatedly tried to burn down the school  i immediately recalled . . . . . . . . . at . . . . . . . . . . high . a classic line inspector i  m here to sack one of your teachers . student welcome to bromwell high . i expect that many adults of my age think that bromwell high is far fetched . what a pity that it isn  t   '"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "e0408810-c424-4ed4-afb9-1735e9ddbd0a"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'POSITIVE'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lesson: Develop a Predictive Theory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "e67a709f-234f-4493-bae6-4fb192141ee0"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels.txt \t : \t reviews.txt\n",
      "\n",
      "NEGATIVE\t:\tthis movie is terrible but it has some good effects .  ...\n",
      "POSITIVE\t:\tadrian pasdar is excellent is this film . he makes a fascinating woman .  ...\n",
      "NEGATIVE\t:\tcomment this movie is impossible . is terrible  very improbable  bad interpretat...\n",
      "POSITIVE\t:\texcellent episode movie ala pulp fiction .  days   suicides . it doesnt get more...\n",
      "NEGATIVE\t:\tif you haven  t seen this  it  s terrible . it is pure trash . i saw this about ...\n",
      "POSITIVE\t:\tthis schiffer guy is a real genius  the movie is of excellent quality and both e...\n"
     ]
    }
   ],
   "source": [
    "print(\"labels.txt \\t : \\t reviews.txt\\n\")\n",
    "pretty_print_review_and_label(2137)\n",
    "pretty_print_review_and_label(12816)\n",
    "pretty_print_review_and_label(6267)\n",
    "pretty_print_review_and_label(21934)\n",
    "pretty_print_review_and_label(5297)\n",
    "pretty_print_review_and_label(4998)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project 1: Quick Theory Validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "positive_counts = Counter()\n",
    "negative_counts = Counter()\n",
    "total_counts = Counter()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for i in range(len(reviews)):\n",
    "    if(labels[i] == 'POSITIVE'):\n",
    "        for word in reviews[i].split(\" \"):\n",
    "            positive_counts[word] += 1\n",
    "            total_counts[word] += 1\n",
    "    else:\n",
    "        for word in reviews[i].split(\" \"):\n",
    "            negative_counts[word] += 1\n",
    "            total_counts[word] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('', 550468),\n",
       " ('the', 173324),\n",
       " ('.', 159654),\n",
       " ('and', 89722),\n",
       " ('a', 83688),\n",
       " ('of', 76855),\n",
       " ('to', 66746),\n",
       " ('is', 57245),\n",
       " ('in', 50215),\n",
       " ('br', 49235),\n",
       " ('it', 48025),\n",
       " ('i', 40743),\n",
       " ('that', 35630),\n",
       " ('this', 35080),\n",
       " ('s', 33815),\n",
       " ('as', 26308),\n",
       " ('with', 23247),\n",
       " ('for', 22416),\n",
       " ('was', 21917),\n",
       " ('film', 20937),\n",
       " ('but', 20822),\n",
       " ('movie', 19074),\n",
       " ('his', 17227),\n",
       " ('on', 17008),\n",
       " ('you', 16681),\n",
       " ('he', 16282),\n",
       " ('are', 14807),\n",
       " ('not', 14272),\n",
       " ('t', 13720),\n",
       " ('one', 13655),\n",
       " ('have', 12587),\n",
       " ('be', 12416),\n",
       " ('by', 11997),\n",
       " ('all', 11942),\n",
       " ('who', 11464),\n",
       " ('an', 11294),\n",
       " ('at', 11234),\n",
       " ('from', 10767),\n",
       " ('her', 10474),\n",
       " ('they', 9895),\n",
       " ('has', 9186),\n",
       " ('so', 9154),\n",
       " ('like', 9038),\n",
       " ('about', 8313),\n",
       " ('very', 8305),\n",
       " ('out', 8134),\n",
       " ('there', 8057),\n",
       " ('she', 7779),\n",
       " ('what', 7737),\n",
       " ('or', 7732),\n",
       " ('good', 7720),\n",
       " ('more', 7521),\n",
       " ('when', 7456),\n",
       " ('some', 7441),\n",
       " ('if', 7285),\n",
       " ('just', 7152),\n",
       " ('can', 7001),\n",
       " ('story', 6780),\n",
       " ('time', 6515),\n",
       " ('my', 6488),\n",
       " ('great', 6419),\n",
       " ('well', 6405),\n",
       " ('up', 6321),\n",
       " ('which', 6267),\n",
       " ('their', 6107),\n",
       " ('see', 6026),\n",
       " ('also', 5550),\n",
       " ('we', 5531),\n",
       " ('really', 5476),\n",
       " ('would', 5400),\n",
       " ('will', 5218),\n",
       " ('me', 5167),\n",
       " ('had', 5148),\n",
       " ('only', 5137),\n",
       " ('him', 5018),\n",
       " ('even', 4964),\n",
       " ('most', 4864),\n",
       " ('other', 4858),\n",
       " ('were', 4782),\n",
       " ('first', 4755),\n",
       " ('than', 4736),\n",
       " ('much', 4685),\n",
       " ('its', 4622),\n",
       " ('no', 4574),\n",
       " ('into', 4544),\n",
       " ('people', 4479),\n",
       " ('best', 4319),\n",
       " ('love', 4301),\n",
       " ('get', 4272),\n",
       " ('how', 4213),\n",
       " ('life', 4199),\n",
       " ('been', 4189),\n",
       " ('because', 4079),\n",
       " ('way', 4036),\n",
       " ('do', 3941),\n",
       " ('made', 3823),\n",
       " ('films', 3813),\n",
       " ('them', 3805),\n",
       " ('after', 3800),\n",
       " ('many', 3766),\n",
       " ('two', 3733),\n",
       " ('too', 3659),\n",
       " ('think', 3655),\n",
       " ('movies', 3586),\n",
       " ('characters', 3560),\n",
       " ('character', 3514),\n",
       " ('don', 3468),\n",
       " ('man', 3460),\n",
       " ('show', 3432),\n",
       " ('watch', 3424),\n",
       " ('seen', 3414),\n",
       " ('then', 3358),\n",
       " ('little', 3341),\n",
       " ('still', 3340),\n",
       " ('make', 3303),\n",
       " ('could', 3237),\n",
       " ('never', 3226),\n",
       " ('being', 3217),\n",
       " ('where', 3173),\n",
       " ('does', 3069),\n",
       " ('over', 3017),\n",
       " ('any', 3002),\n",
       " ('while', 2899),\n",
       " ('know', 2833),\n",
       " ('did', 2790),\n",
       " ('years', 2758),\n",
       " ('here', 2740),\n",
       " ('ever', 2734),\n",
       " ('end', 2696),\n",
       " ('these', 2694),\n",
       " ('such', 2590),\n",
       " ('real', 2568),\n",
       " ('scene', 2567),\n",
       " ('back', 2547),\n",
       " ('those', 2485),\n",
       " ('though', 2475),\n",
       " ('off', 2463),\n",
       " ('new', 2458),\n",
       " ('your', 2453),\n",
       " ('go', 2440),\n",
       " ('acting', 2437),\n",
       " ('plot', 2432),\n",
       " ('world', 2429),\n",
       " ('scenes', 2427),\n",
       " ('say', 2414),\n",
       " ('through', 2409),\n",
       " ('makes', 2390),\n",
       " ('better', 2381),\n",
       " ('now', 2368),\n",
       " ('work', 2346),\n",
       " ('young', 2343),\n",
       " ('old', 2311),\n",
       " ('ve', 2307),\n",
       " ('find', 2272),\n",
       " ('both', 2248),\n",
       " ('before', 2177),\n",
       " ('us', 2162),\n",
       " ('again', 2158),\n",
       " ('series', 2153),\n",
       " ('quite', 2143),\n",
       " ('something', 2135),\n",
       " ('cast', 2133),\n",
       " ('should', 2121),\n",
       " ('part', 2098),\n",
       " ('always', 2088),\n",
       " ('lot', 2087),\n",
       " ('another', 2075),\n",
       " ('actors', 2047),\n",
       " ('director', 2040),\n",
       " ('family', 2032),\n",
       " ('between', 2016),\n",
       " ('own', 2016),\n",
       " ('m', 1998),\n",
       " ('may', 1997),\n",
       " ('same', 1972),\n",
       " ('role', 1967),\n",
       " ('watching', 1966),\n",
       " ('every', 1954),\n",
       " ('funny', 1953),\n",
       " ('doesn', 1935),\n",
       " ('performance', 1928),\n",
       " ('few', 1918),\n",
       " ('bad', 1907),\n",
       " ('look', 1900),\n",
       " ('re', 1884),\n",
       " ('why', 1855),\n",
       " ('things', 1849),\n",
       " ('times', 1832),\n",
       " ('big', 1815),\n",
       " ('however', 1795),\n",
       " ('actually', 1790),\n",
       " ('action', 1789),\n",
       " ('going', 1783),\n",
       " ('bit', 1757),\n",
       " ('comedy', 1742),\n",
       " ('down', 1740),\n",
       " ('music', 1738),\n",
       " ('must', 1728),\n",
       " ('take', 1709),\n",
       " ('saw', 1692),\n",
       " ('long', 1690),\n",
       " ('right', 1688),\n",
       " ('fun', 1686),\n",
       " ('fact', 1684),\n",
       " ('excellent', 1683),\n",
       " ('around', 1674),\n",
       " ('didn', 1672),\n",
       " ('without', 1671),\n",
       " ('thing', 1662),\n",
       " ('thought', 1639),\n",
       " ('got', 1635),\n",
       " ('each', 1630),\n",
       " ('day', 1614),\n",
       " ('feel', 1597),\n",
       " ('seems', 1596),\n",
       " ('come', 1594),\n",
       " ('done', 1586),\n",
       " ('beautiful', 1580),\n",
       " ('especially', 1572),\n",
       " ('played', 1571),\n",
       " ('almost', 1566),\n",
       " ('want', 1562),\n",
       " ('yet', 1556),\n",
       " ('give', 1553),\n",
       " ('pretty', 1549),\n",
       " ('last', 1543),\n",
       " ('since', 1519),\n",
       " ('different', 1504),\n",
       " ('although', 1501),\n",
       " ('gets', 1490),\n",
       " ('true', 1487),\n",
       " ('interesting', 1481),\n",
       " ('job', 1470),\n",
       " ('enough', 1455),\n",
       " ('our', 1454),\n",
       " ('shows', 1447),\n",
       " ('horror', 1441),\n",
       " ('woman', 1439),\n",
       " ('tv', 1400),\n",
       " ('probably', 1398),\n",
       " ('father', 1395),\n",
       " ('original', 1393),\n",
       " ('girl', 1390),\n",
       " ('point', 1379),\n",
       " ('plays', 1378),\n",
       " ('wonderful', 1372),\n",
       " ('far', 1358),\n",
       " ('course', 1358),\n",
       " ('john', 1350),\n",
       " ('rather', 1340),\n",
       " ('isn', 1328),\n",
       " ('ll', 1326),\n",
       " ('later', 1324),\n",
       " ('dvd', 1324),\n",
       " ('whole', 1310),\n",
       " ('war', 1310),\n",
       " ('d', 1307),\n",
       " ('found', 1306),\n",
       " ('away', 1306),\n",
       " ('screen', 1305),\n",
       " ('nothing', 1300),\n",
       " ('year', 1297),\n",
       " ('once', 1296),\n",
       " ('hard', 1294),\n",
       " ('together', 1280),\n",
       " ('set', 1277),\n",
       " ('am', 1277),\n",
       " ('having', 1266),\n",
       " ('making', 1265),\n",
       " ('place', 1263),\n",
       " ('might', 1260),\n",
       " ('comes', 1260),\n",
       " ('sure', 1253),\n",
       " ('american', 1248),\n",
       " ('play', 1245),\n",
       " ('kind', 1244),\n",
       " ('perfect', 1242),\n",
       " ('takes', 1242),\n",
       " ('performances', 1237),\n",
       " ('himself', 1230),\n",
       " ('worth', 1221),\n",
       " ('everyone', 1221),\n",
       " ('anyone', 1214),\n",
       " ('actor', 1203),\n",
       " ('three', 1201),\n",
       " ('wife', 1196),\n",
       " ('classic', 1192),\n",
       " ('goes', 1186),\n",
       " ('ending', 1178),\n",
       " ('version', 1168),\n",
       " ('star', 1149),\n",
       " ('enjoy', 1146),\n",
       " ('book', 1142),\n",
       " ('nice', 1132),\n",
       " ('everything', 1128),\n",
       " ('during', 1124),\n",
       " ('put', 1118),\n",
       " ('seeing', 1111),\n",
       " ('least', 1102),\n",
       " ('house', 1100),\n",
       " ('high', 1095),\n",
       " ('watched', 1094),\n",
       " ('loved', 1087),\n",
       " ('men', 1087),\n",
       " ('night', 1082),\n",
       " ('anything', 1075),\n",
       " ('believe', 1071),\n",
       " ('guy', 1071),\n",
       " ('top', 1063),\n",
       " ('amazing', 1058),\n",
       " ('hollywood', 1056),\n",
       " ('looking', 1053),\n",
       " ('main', 1044),\n",
       " ('definitely', 1043),\n",
       " ('gives', 1031),\n",
       " ('home', 1029),\n",
       " ('seem', 1028),\n",
       " ('episode', 1023),\n",
       " ('audience', 1020),\n",
       " ('sense', 1020),\n",
       " ('truly', 1017),\n",
       " ('special', 1011),\n",
       " ('second', 1009),\n",
       " ('short', 1009),\n",
       " ('fan', 1009),\n",
       " ('mind', 1005),\n",
       " ('human', 1001),\n",
       " ('recommend', 999),\n",
       " ('full', 996),\n",
       " ('black', 995),\n",
       " ('help', 991),\n",
       " ('along', 989),\n",
       " ('trying', 987),\n",
       " ('small', 986),\n",
       " ('death', 985),\n",
       " ('friends', 981),\n",
       " ('remember', 974),\n",
       " ('often', 970),\n",
       " ('said', 966),\n",
       " ('favorite', 962),\n",
       " ('heart', 959),\n",
       " ('early', 957),\n",
       " ('left', 956),\n",
       " ('until', 955),\n",
       " ('script', 954),\n",
       " ('let', 954),\n",
       " ('maybe', 937),\n",
       " ('today', 936),\n",
       " ('live', 934),\n",
       " ('less', 934),\n",
       " ('moments', 933),\n",
       " ('others', 929),\n",
       " ('brilliant', 926),\n",
       " ('shot', 925),\n",
       " ('liked', 923),\n",
       " ('become', 916),\n",
       " ('won', 915),\n",
       " ('used', 910),\n",
       " ('style', 907),\n",
       " ('mother', 895),\n",
       " ('lives', 894),\n",
       " ('came', 893),\n",
       " ('stars', 890),\n",
       " ('cinema', 889),\n",
       " ('looks', 885),\n",
       " ('perhaps', 884),\n",
       " ('read', 882),\n",
       " ('enjoyed', 879),\n",
       " ('boy', 875),\n",
       " ('drama', 873),\n",
       " ('highly', 871),\n",
       " ('given', 870),\n",
       " ('playing', 867),\n",
       " ('use', 864),\n",
       " ('next', 859),\n",
       " ('women', 858),\n",
       " ('fine', 857),\n",
       " ('effects', 856),\n",
       " ('kids', 854),\n",
       " ('entertaining', 853),\n",
       " ('need', 852),\n",
       " ('line', 850),\n",
       " ('works', 848),\n",
       " ('someone', 847),\n",
       " ('mr', 836),\n",
       " ('simply', 835),\n",
       " ('picture', 833),\n",
       " ('children', 833),\n",
       " ('face', 831),\n",
       " ('keep', 831),\n",
       " ('friend', 831),\n",
       " ('dark', 830),\n",
       " ('overall', 828),\n",
       " ('certainly', 828),\n",
       " ('minutes', 827),\n",
       " ('wasn', 824),\n",
       " ('history', 822),\n",
       " ('finally', 820),\n",
       " ('couple', 816),\n",
       " ('against', 815),\n",
       " ('son', 809),\n",
       " ('understand', 808),\n",
       " ('lost', 807),\n",
       " ('michael', 805),\n",
       " ('else', 801),\n",
       " ('throughout', 798),\n",
       " ('fans', 797),\n",
       " ('city', 792),\n",
       " ('reason', 789),\n",
       " ('written', 787),\n",
       " ('production', 787),\n",
       " ('several', 784),\n",
       " ('school', 783),\n",
       " ('based', 781),\n",
       " ('rest', 781),\n",
       " ('try', 780),\n",
       " ('dead', 776),\n",
       " ('hope', 775),\n",
       " ('strong', 768),\n",
       " ('white', 765),\n",
       " ('tell', 759),\n",
       " ('itself', 758),\n",
       " ('half', 753),\n",
       " ('person', 749),\n",
       " ('sometimes', 746),\n",
       " ('past', 744),\n",
       " ('start', 744),\n",
       " ('genre', 743),\n",
       " ('beginning', 739),\n",
       " ('final', 739),\n",
       " ('town', 738),\n",
       " ('art', 734),\n",
       " ('humor', 732),\n",
       " ('game', 732),\n",
       " ('yes', 731),\n",
       " ('idea', 731),\n",
       " ('late', 730),\n",
       " ('becomes', 729),\n",
       " ('despite', 729),\n",
       " ('able', 726),\n",
       " ('case', 726),\n",
       " ('money', 723),\n",
       " ('child', 721),\n",
       " ('completely', 721),\n",
       " ('side', 719),\n",
       " ('camera', 716),\n",
       " ('getting', 714),\n",
       " ('instead', 712),\n",
       " ('soon', 702),\n",
       " ('under', 700),\n",
       " ('viewer', 699),\n",
       " ('age', 697),\n",
       " ('days', 696),\n",
       " ('stories', 696),\n",
       " ('felt', 694),\n",
       " ('simple', 694),\n",
       " ('roles', 693),\n",
       " ('video', 688),\n",
       " ('name', 683),\n",
       " ('either', 683),\n",
       " ('doing', 677),\n",
       " ('turns', 674),\n",
       " ('wants', 671),\n",
       " ('close', 671),\n",
       " ('title', 669),\n",
       " ('wrong', 668),\n",
       " ('went', 666),\n",
       " ('james', 665),\n",
       " ('evil', 659),\n",
       " ('budget', 657),\n",
       " ('episodes', 657),\n",
       " ('relationship', 655),\n",
       " ('fantastic', 653),\n",
       " ('piece', 653),\n",
       " ('david', 651),\n",
       " ('turn', 648),\n",
       " ('murder', 646),\n",
       " ('parts', 645),\n",
       " ('brother', 644),\n",
       " ('absolutely', 643),\n",
       " ('head', 643),\n",
       " ('experience', 642),\n",
       " ('eyes', 641),\n",
       " ('sex', 638),\n",
       " ('direction', 637),\n",
       " ('called', 637),\n",
       " ('directed', 636),\n",
       " ('lines', 634),\n",
       " ('behind', 633),\n",
       " ('sort', 632),\n",
       " ('actress', 631),\n",
       " ('lead', 630),\n",
       " ('oscar', 628),\n",
       " ('including', 627),\n",
       " ('example', 627),\n",
       " ('known', 625),\n",
       " ('musical', 625),\n",
       " ('chance', 621),\n",
       " ('score', 620),\n",
       " ('already', 619),\n",
       " ('feeling', 619),\n",
       " ('hit', 619),\n",
       " ('voice', 615),\n",
       " ('moment', 612),\n",
       " ('living', 612),\n",
       " ('low', 610),\n",
       " ('supporting', 610),\n",
       " ('ago', 609),\n",
       " ('themselves', 608),\n",
       " ('reality', 605),\n",
       " ('hilarious', 605),\n",
       " ('jack', 604),\n",
       " ('told', 603),\n",
       " ('hand', 601),\n",
       " ('quality', 600),\n",
       " ('moving', 600),\n",
       " ('dialogue', 600),\n",
       " ('song', 599),\n",
       " ('happy', 599),\n",
       " ('matter', 598),\n",
       " ('paul', 598),\n",
       " ('light', 594),\n",
       " ('future', 593),\n",
       " ('entire', 592),\n",
       " ('finds', 591),\n",
       " ('gave', 589),\n",
       " ('laugh', 587),\n",
       " ('released', 586),\n",
       " ('expect', 584),\n",
       " ('fight', 581),\n",
       " ('particularly', 580),\n",
       " ('cinematography', 579),\n",
       " ('police', 579),\n",
       " ('whose', 578),\n",
       " ('type', 578),\n",
       " ('sound', 578),\n",
       " ('view', 573),\n",
       " ('enjoyable', 573),\n",
       " ('number', 572),\n",
       " ('romantic', 572),\n",
       " ('husband', 572),\n",
       " ('daughter', 572),\n",
       " ('documentary', 571),\n",
       " ('self', 570),\n",
       " ('superb', 569),\n",
       " ('modern', 569),\n",
       " ('took', 569),\n",
       " ('robert', 569),\n",
       " ('mean', 566),\n",
       " ('shown', 563),\n",
       " ('coming', 561),\n",
       " ('important', 560),\n",
       " ('king', 559),\n",
       " ('leave', 559),\n",
       " ('change', 558),\n",
       " ('somewhat', 555),\n",
       " ('wanted', 555),\n",
       " ('tells', 554),\n",
       " ('events', 552),\n",
       " ('run', 552),\n",
       " ('career', 552),\n",
       " ('country', 552),\n",
       " ('heard', 550),\n",
       " ('season', 550),\n",
       " ('greatest', 549),\n",
       " ('girls', 549),\n",
       " ('etc', 547),\n",
       " ('care', 546),\n",
       " ('starts', 545),\n",
       " ('english', 542),\n",
       " ('killer', 541),\n",
       " ('tale', 540),\n",
       " ('guys', 540),\n",
       " ('totally', 540),\n",
       " ('animation', 540),\n",
       " ('usual', 539),\n",
       " ('miss', 535),\n",
       " ('opinion', 535),\n",
       " ('easy', 531),\n",
       " ('violence', 531),\n",
       " ('songs', 530),\n",
       " ('british', 528),\n",
       " ('says', 526),\n",
       " ('realistic', 525),\n",
       " ('writing', 524),\n",
       " ('writer', 522),\n",
       " ('act', 522),\n",
       " ('comic', 521),\n",
       " ('thriller', 519),\n",
       " ('television', 517),\n",
       " ('power', 516),\n",
       " ('ones', 515),\n",
       " ('kid', 514),\n",
       " ('york', 513),\n",
       " ('novel', 513),\n",
       " ('alone', 512),\n",
       " ('problem', 512),\n",
       " ('attention', 509),\n",
       " ('involved', 508),\n",
       " ('kill', 507),\n",
       " ('extremely', 507),\n",
       " ('seemed', 506),\n",
       " ('hero', 505),\n",
       " ('french', 505),\n",
       " ('rock', 504),\n",
       " ('stuff', 501),\n",
       " ('wish', 499),\n",
       " ('begins', 498),\n",
       " ('taken', 497),\n",
       " ('sad', 497),\n",
       " ('ways', 496),\n",
       " ('richard', 495),\n",
       " ('knows', 494),\n",
       " ('atmosphere', 493),\n",
       " ('similar', 491),\n",
       " ('surprised', 491),\n",
       " ('taking', 491),\n",
       " ('car', 491),\n",
       " ('george', 490),\n",
       " ('perfectly', 490),\n",
       " ('across', 489),\n",
       " ('team', 489),\n",
       " ('eye', 489),\n",
       " ('sequence', 489),\n",
       " ('room', 488),\n",
       " ('due', 488),\n",
       " ('among', 488),\n",
       " ('serious', 488),\n",
       " ('powerful', 488),\n",
       " ('strange', 487),\n",
       " ('order', 487),\n",
       " ('cannot', 487),\n",
       " ('b', 487),\n",
       " ('beauty', 486),\n",
       " ('famous', 485),\n",
       " ('happened', 484),\n",
       " ('tries', 484),\n",
       " ('herself', 484),\n",
       " ('myself', 484),\n",
       " ('class', 483),\n",
       " ('four', 482),\n",
       " ('cool', 481),\n",
       " ('release', 479),\n",
       " ('anyway', 479),\n",
       " ('theme', 479),\n",
       " ('opening', 478),\n",
       " ('entertainment', 477),\n",
       " ('slow', 475),\n",
       " ('ends', 475),\n",
       " ('unique', 475),\n",
       " ('exactly', 475),\n",
       " ('easily', 474),\n",
       " ('level', 474),\n",
       " ('o', 474),\n",
       " ('red', 474),\n",
       " ('interest', 472),\n",
       " ('happen', 471),\n",
       " ('crime', 470),\n",
       " ('viewing', 468),\n",
       " ('sets', 467),\n",
       " ('memorable', 467),\n",
       " ('stop', 466),\n",
       " ('group', 466),\n",
       " ('problems', 463),\n",
       " ('dance', 463),\n",
       " ('working', 463),\n",
       " ('sister', 463),\n",
       " ('message', 463),\n",
       " ('knew', 462),\n",
       " ('mystery', 461),\n",
       " ('nature', 461),\n",
       " ('bring', 460),\n",
       " ('believable', 459),\n",
       " ('thinking', 459),\n",
       " ('brought', 459),\n",
       " ('mostly', 458),\n",
       " ('disney', 457),\n",
       " ('couldn', 457),\n",
       " ('society', 456),\n",
       " ('lady', 455),\n",
       " ('within', 455),\n",
       " ('blood', 454),\n",
       " ('parents', 453),\n",
       " ('upon', 453),\n",
       " ('viewers', 453),\n",
       " ('meets', 452),\n",
       " ('form', 452),\n",
       " ('peter', 452),\n",
       " ('tom', 452),\n",
       " ('usually', 452),\n",
       " ('soundtrack', 452),\n",
       " ('local', 450),\n",
       " ('certain', 448),\n",
       " ('follow', 448),\n",
       " ('whether', 447),\n",
       " ('possible', 446),\n",
       " ('emotional', 445),\n",
       " ('killed', 444),\n",
       " ('above', 444),\n",
       " ('de', 444),\n",
       " ('god', 443),\n",
       " ('middle', 443),\n",
       " ('needs', 442),\n",
       " ('happens', 442),\n",
       " ('flick', 442),\n",
       " ('masterpiece', 441),\n",
       " ('period', 440),\n",
       " ('major', 440),\n",
       " ('named', 439),\n",
       " ('haven', 439),\n",
       " ('particular', 438),\n",
       " ('th', 438),\n",
       " ('earth', 437),\n",
       " ('feature', 437),\n",
       " ('stand', 436),\n",
       " ('words', 435),\n",
       " ('typical', 435),\n",
       " ('elements', 433),\n",
       " ('obviously', 433),\n",
       " ('romance', 431),\n",
       " ('jane', 430),\n",
       " ('yourself', 427),\n",
       " ('showing', 427),\n",
       " ('brings', 426),\n",
       " ('fantasy', 426),\n",
       " ('guess', 423),\n",
       " ('america', 423),\n",
       " ('unfortunately', 422),\n",
       " ('huge', 422),\n",
       " ('indeed', 421),\n",
       " ('running', 421),\n",
       " ('talent', 420),\n",
       " ('stage', 419),\n",
       " ('started', 418),\n",
       " ('leads', 417),\n",
       " ('sweet', 417),\n",
       " ('japanese', 417),\n",
       " ('poor', 416),\n",
       " ('deal', 416),\n",
       " ('incredible', 413),\n",
       " ('personal', 413),\n",
       " ('fast', 412),\n",
       " ('became', 410),\n",
       " ('deep', 410),\n",
       " ('hours', 409),\n",
       " ('giving', 408),\n",
       " ('nearly', 408),\n",
       " ('dream', 408),\n",
       " ('clearly', 407),\n",
       " ('turned', 407),\n",
       " ('obvious', 406),\n",
       " ('near', 406),\n",
       " ('cut', 405),\n",
       " ('surprise', 405),\n",
       " ('era', 404),\n",
       " ('body', 404),\n",
       " ('hour', 403),\n",
       " ('female', 403),\n",
       " ('five', 403),\n",
       " ('note', 399),\n",
       " ('learn', 398),\n",
       " ('truth', 398),\n",
       " ('except', 397),\n",
       " ('feels', 397),\n",
       " ('match', 397),\n",
       " ('tony', 397),\n",
       " ('filmed', 394),\n",
       " ('clear', 394),\n",
       " ('complete', 394),\n",
       " ('street', 393),\n",
       " ('eventually', 393),\n",
       " ('keeps', 393),\n",
       " ('older', 393),\n",
       " ('lots', 393),\n",
       " ('buy', 392),\n",
       " ('william', 391),\n",
       " ('stewart', 391),\n",
       " ('fall', 390),\n",
       " ('joe', 390),\n",
       " ('meet', 390),\n",
       " ('unlike', 389),\n",
       " ('talking', 389),\n",
       " ('shots', 389),\n",
       " ('rating', 389),\n",
       " ('difficult', 389),\n",
       " ('dramatic', 388),\n",
       " ('means', 388),\n",
       " ('situation', 386),\n",
       " ('wonder', 386),\n",
       " ('present', 386),\n",
       " ('appears', 386),\n",
       " ('subject', 386),\n",
       " ('comments', 385),\n",
       " ('general', 383),\n",
       " ('sequences', 383),\n",
       " ('lee', 383),\n",
       " ('points', 382),\n",
       " ('earlier', 382),\n",
       " ('gone', 379),\n",
       " ('check', 379),\n",
       " ('suspense', 378),\n",
       " ('recommended', 378),\n",
       " ('ten', 378),\n",
       " ('third', 377),\n",
       " ('business', 377),\n",
       " ('talk', 375),\n",
       " ('leaves', 375),\n",
       " ('beyond', 375),\n",
       " ('portrayal', 374),\n",
       " ('beautifully', 373),\n",
       " ('single', 372),\n",
       " ('bill', 372),\n",
       " ('plenty', 371),\n",
       " ('word', 371),\n",
       " ('whom', 370),\n",
       " ('falls', 370),\n",
       " ('scary', 369),\n",
       " ('non', 369),\n",
       " ('figure', 369),\n",
       " ('battle', 369),\n",
       " ('using', 368),\n",
       " ('return', 368),\n",
       " ('doubt', 367),\n",
       " ('add', 367),\n",
       " ('hear', 366),\n",
       " ('solid', 366),\n",
       " ('success', 366),\n",
       " ('jokes', 365),\n",
       " ('oh', 365),\n",
       " ('touching', 365),\n",
       " ('political', 365),\n",
       " ('hell', 364),\n",
       " ('awesome', 364),\n",
       " ('boys', 364),\n",
       " ('sexual', 362),\n",
       " ('recently', 362),\n",
       " ('dog', 362),\n",
       " ('please', 361),\n",
       " ('wouldn', 361),\n",
       " ('straight', 361),\n",
       " ('features', 361),\n",
       " ('forget', 360),\n",
       " ('setting', 360),\n",
       " ('lack', 360),\n",
       " ('married', 359),\n",
       " ('mark', 359),\n",
       " ('social', 357),\n",
       " ('interested', 356),\n",
       " ('adventure', 356),\n",
       " ('actual', 355),\n",
       " ('terrific', 355),\n",
       " ('sees', 355),\n",
       " ('brothers', 355),\n",
       " ('move', 354),\n",
       " ('call', 354),\n",
       " ('various', 353),\n",
       " ('theater', 353),\n",
       " ('dr', 353),\n",
       " ('animated', 352),\n",
       " ('western', 351),\n",
       " ('baby', 350),\n",
       " ('space', 350),\n",
       " ('leading', 348),\n",
       " ('disappointed', 348),\n",
       " ('portrayed', 346),\n",
       " ('aren', 346),\n",
       " ('screenplay', 345),\n",
       " ('smith', 345),\n",
       " ('towards', 344),\n",
       " ('hate', 344),\n",
       " ('noir', 343),\n",
       " ('outstanding', 342),\n",
       " ('decent', 342),\n",
       " ('kelly', 342),\n",
       " ('directors', 341),\n",
       " ('journey', 341),\n",
       " ('none', 340),\n",
       " ('looked', 340),\n",
       " ('effective', 340),\n",
       " ('storyline', 339),\n",
       " ('caught', 339),\n",
       " ('sci', 339),\n",
       " ('fi', 339),\n",
       " ('cold', 339),\n",
       " ('mary', 339),\n",
       " ('rich', 338),\n",
       " ('charming', 338),\n",
       " ('popular', 337),\n",
       " ('rare', 337),\n",
       " ('manages', 337),\n",
       " ('harry', 337),\n",
       " ('spirit', 336),\n",
       " ('appreciate', 335),\n",
       " ('open', 335),\n",
       " ('moves', 334),\n",
       " ('basically', 334),\n",
       " ('acted', 334),\n",
       " ('inside', 333),\n",
       " ('boring', 333),\n",
       " ('century', 333),\n",
       " ('mention', 333),\n",
       " ('deserves', 333),\n",
       " ('subtle', 333),\n",
       " ('pace', 333),\n",
       " ('familiar', 332),\n",
       " ('background', 332),\n",
       " ('ben', 331),\n",
       " ('creepy', 330),\n",
       " ('supposed', 330),\n",
       " ('secret', 329),\n",
       " ('die', 328),\n",
       " ('jim', 328),\n",
       " ('question', 327),\n",
       " ('effect', 327),\n",
       " ('natural', 327),\n",
       " ('impressive', 326),\n",
       " ('rate', 326),\n",
       " ('language', 326),\n",
       " ('saying', 325),\n",
       " ('intelligent', 325),\n",
       " ('telling', 324),\n",
       " ('realize', 324),\n",
       " ('material', 324),\n",
       " ('scott', 324),\n",
       " ('singing', 323),\n",
       " ('dancing', 322),\n",
       " ('visual', 321),\n",
       " ('adult', 321),\n",
       " ('imagine', 321),\n",
       " ('kept', 320),\n",
       " ('office', 320),\n",
       " ('uses', 319),\n",
       " ('pure', 318),\n",
       " ('wait', 318),\n",
       " ('stunning', 318),\n",
       " ('review', 317),\n",
       " ('previous', 317),\n",
       " ('copy', 317),\n",
       " ('seriously', 317),\n",
       " ('reading', 316),\n",
       " ('create', 316),\n",
       " ('hot', 316),\n",
       " ('created', 316),\n",
       " ('magic', 316),\n",
       " ('somehow', 316),\n",
       " ('stay', 315),\n",
       " ('attempt', 315),\n",
       " ('escape', 315),\n",
       " ('crazy', 315),\n",
       " ('air', 315),\n",
       " ('frank', 315),\n",
       " ('hands', 314),\n",
       " ('filled', 313),\n",
       " ('expected', 312),\n",
       " ('average', 312),\n",
       " ('surprisingly', 312),\n",
       " ('complex', 311),\n",
       " ('quickly', 310),\n",
       " ('successful', 310),\n",
       " ('studio', 310),\n",
       " ('plus', 309),\n",
       " ('male', 309),\n",
       " ('co', 307),\n",
       " ('images', 306),\n",
       " ('casting', 306),\n",
       " ('following', 306),\n",
       " ('minute', 306),\n",
       " ('exciting', 306),\n",
       " ('members', 305),\n",
       " ('follows', 305),\n",
       " ('themes', 305),\n",
       " ('german', 305),\n",
       " ('reasons', 305),\n",
       " ('e', 305),\n",
       " ('touch', 304),\n",
       " ('edge', 304),\n",
       " ('free', 304),\n",
       " ('cute', 304),\n",
       " ('genius', 304),\n",
       " ('outside', 303),\n",
       " ('reviews', 302),\n",
       " ('admit', 302),\n",
       " ('ok', 302),\n",
       " ('younger', 302),\n",
       " ('fighting', 301),\n",
       " ('odd', 301),\n",
       " ('master', 301),\n",
       " ('recent', 300),\n",
       " ('thanks', 300),\n",
       " ('break', 300),\n",
       " ('comment', 300),\n",
       " ('apart', 299),\n",
       " ('emotions', 298),\n",
       " ('lovely', 298),\n",
       " ('begin', 298),\n",
       " ('doctor', 297),\n",
       " ('party', 297),\n",
       " ('italian', 297),\n",
       " ('la', 296),\n",
       " ('missed', 296),\n",
       " ...]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_counts.most_common()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pos_neg_ratios = Counter()\n",
    "\n",
    "for term,cnt in list(total_counts.most_common()):\n",
    "    if(cnt > 100):\n",
    "        pos_neg_ratio = positive_counts[term] / float(negative_counts[term]+1)\n",
    "        pos_neg_ratios[term] = pos_neg_ratio\n",
    "\n",
    "for word,ratio in pos_neg_ratios.most_common():\n",
    "    if(ratio > 1):\n",
    "        pos_neg_ratios[word] = np.log(ratio)\n",
    "    else:\n",
    "        pos_neg_ratios[word] = -np.log((1 / (ratio+0.01)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('edie', 4.6913478822291435),\n",
       " ('paulie', 4.0775374439057197),\n",
       " ('felix', 3.1527360223636558),\n",
       " ('polanski', 2.8233610476132043),\n",
       " ('matthau', 2.8067217286092401),\n",
       " ('victoria', 2.6810215287142909),\n",
       " ('mildred', 2.6026896854443837),\n",
       " ('gandhi', 2.5389738710582761),\n",
       " ('flawless', 2.451005098112319),\n",
       " ('superbly', 2.2600254785752498),\n",
       " ('perfection', 2.1594842493533721),\n",
       " ('astaire', 2.1400661634962708),\n",
       " ('captures', 2.0386195471595809),\n",
       " ('voight', 2.0301704926730531),\n",
       " ('wonderfully', 2.0218960560332353),\n",
       " ('powell', 1.9783454248084671),\n",
       " ('brosnan', 1.9547990964725592),\n",
       " ('lily', 1.9203768470501485),\n",
       " ('bakshi', 1.9029851043382795),\n",
       " ('lincoln', 1.9014583864844796),\n",
       " ('refreshing', 1.8551812956655511),\n",
       " ('breathtaking', 1.8481124057791867),\n",
       " ('bourne', 1.8478489358790986),\n",
       " ('lemmon', 1.8458266904983307),\n",
       " ('delightful', 1.8002701588959635),\n",
       " ('flynn', 1.7996646487351682),\n",
       " ('andrews', 1.7764919970972666),\n",
       " ('homer', 1.7692866133759964),\n",
       " ('beautifully', 1.7626953362841438),\n",
       " ('soccer', 1.7578579175523736),\n",
       " ('elvira', 1.7397031072720019),\n",
       " ('underrated', 1.7197859696029656),\n",
       " ('gripping', 1.7165360479904674),\n",
       " ('superb', 1.7091514458966952),\n",
       " ('delight', 1.6714733033535532),\n",
       " ('welles', 1.6677068205580761),\n",
       " ('sadness', 1.663505133704376),\n",
       " ('sinatra', 1.6389967146756448),\n",
       " ('touching', 1.637217476541176),\n",
       " ('timeless', 1.62924053973028),\n",
       " ('macy', 1.6211339521972916),\n",
       " ('unforgettable', 1.6177367152487956),\n",
       " ('favorites', 1.6158688027643908),\n",
       " ('stewart', 1.6119987332957739),\n",
       " ('sullivan', 1.6094379124341003),\n",
       " ('extraordinary', 1.6094379124341003),\n",
       " ('hartley', 1.6094379124341003),\n",
       " ('brilliantly', 1.5950491749820008),\n",
       " ('friendship', 1.5677652160335325),\n",
       " ('wonderful', 1.5645425925262093),\n",
       " ('palma', 1.5553706911638245),\n",
       " ('magnificent', 1.54663701119507),\n",
       " ('finest', 1.5462590108125689),\n",
       " ('jackie', 1.5439233053234738),\n",
       " ('ritter', 1.5404450409471491),\n",
       " ('tremendous', 1.5184661342283736),\n",
       " ('freedom', 1.5091151908062312),\n",
       " ('fantastic', 1.5048433868558566),\n",
       " ('terrific', 1.5026699370083942),\n",
       " ('noir', 1.493925025312256),\n",
       " ('sidney', 1.493925025312256),\n",
       " ('outstanding', 1.4910053152089213),\n",
       " ('pleasantly', 1.4894785973551214),\n",
       " ('mann', 1.4894785973551214),\n",
       " ('nancy', 1.488077055429833),\n",
       " ('marie', 1.4825711915553104),\n",
       " ('marvelous', 1.4739999415389962),\n",
       " ('excellent', 1.4647538505723599),\n",
       " ('ruth', 1.4596256342054401),\n",
       " ('stanwyck', 1.4412101187160054),\n",
       " ('widmark', 1.4350845252893227),\n",
       " ('splendid', 1.4271163556401458),\n",
       " ('chan', 1.423108334242607),\n",
       " ('exceptional', 1.4201959127955721),\n",
       " ('tender', 1.410986973710262),\n",
       " ('gentle', 1.4078005663408544),\n",
       " ('poignant', 1.4022947024663317),\n",
       " ('gem', 1.3932148039644643),\n",
       " ('amazing', 1.3919815802404802),\n",
       " ('chilling', 1.3862943611198906),\n",
       " ('fisher', 1.3862943611198906),\n",
       " ('davies', 1.3862943611198906),\n",
       " ('captivating', 1.3862943611198906),\n",
       " ('darker', 1.3652409519220583),\n",
       " ('april', 1.3499267169490159),\n",
       " ('kelly', 1.3461743673304654),\n",
       " ('blake', 1.3418425985490567),\n",
       " ('overlooked', 1.329135947279942),\n",
       " ('ralph', 1.32818673031261),\n",
       " ('bette', 1.3156767939059373),\n",
       " ('hoffman', 1.3150668518315229),\n",
       " ('cole', 1.3121863889661687),\n",
       " ('shines', 1.3049487216659381),\n",
       " ('powerful', 1.2999662776313934),\n",
       " ('notch', 1.2950456896547455),\n",
       " ('remarkable', 1.2883688239495823),\n",
       " ('pitt', 1.286210902562908),\n",
       " ('winters', 1.2833463918674481),\n",
       " ('vivid', 1.2762934659055623),\n",
       " ('gritty', 1.2757524867200667),\n",
       " ('giallo', 1.2745029551317739),\n",
       " ('portrait', 1.2704625455947689),\n",
       " ('innocence', 1.2694300209805796),\n",
       " ('psychiatrist', 1.2685113254635072),\n",
       " ('favorite', 1.2668956297860055),\n",
       " ('ensemble', 1.2656663733312759),\n",
       " ('stunning', 1.2622417124499117),\n",
       " ('burns', 1.259880436264232),\n",
       " ('garbo', 1.258954938743289),\n",
       " ('barbara', 1.2580400255962119),\n",
       " ('philip', 1.2527629684953681),\n",
       " ('panic', 1.2527629684953681),\n",
       " ('holly', 1.2527629684953681),\n",
       " ('carol', 1.2481440226390734),\n",
       " ('perfect', 1.246742480713785),\n",
       " ('appreciated', 1.2462482874741743),\n",
       " ('favourite', 1.2411123512753928),\n",
       " ('journey', 1.2367626271489269),\n",
       " ('rural', 1.235471471385307),\n",
       " ('bond', 1.2321436812926323),\n",
       " ('builds', 1.2305398317106577),\n",
       " ('brilliant', 1.2287554137664785),\n",
       " ('brooklyn', 1.2286654169163074),\n",
       " ('von', 1.225175011976539),\n",
       " ('recommended', 1.2163953243244932),\n",
       " ('unfolds', 1.2163953243244932),\n",
       " ('daniel', 1.20215296760895),\n",
       " ('perfectly', 1.1971931173405572),\n",
       " ('crafted', 1.1962507582320256),\n",
       " ('prince', 1.1939224684724346),\n",
       " ('troubled', 1.192138346678933),\n",
       " ('consequences', 1.1865810616140668),\n",
       " ('haunting', 1.1814999484738773),\n",
       " ('cinderella', 1.180052620608284),\n",
       " ('alexander', 1.1759989522835299),\n",
       " ('emotions', 1.1753049094563641),\n",
       " ('boxing', 1.1735135968412274),\n",
       " ('subtle', 1.1734135017508081),\n",
       " ('curtis', 1.1649873576129823),\n",
       " ('rare', 1.1566438362402944),\n",
       " ('loved', 1.1563661500586044),\n",
       " ('daughters', 1.1526795099383853),\n",
       " ('courage', 1.1438688802562305),\n",
       " ('dentist', 1.1426722784621401),\n",
       " ('highly', 1.1420208631618658),\n",
       " ('nominated', 1.1409146683587992),\n",
       " ('tony', 1.1397491942285991),\n",
       " ('draws', 1.1325138403437911),\n",
       " ('everyday', 1.1306150197542835),\n",
       " ('contrast', 1.1284652518177909),\n",
       " ('cried', 1.1213405397456659),\n",
       " ('fabulous', 1.1210851445201684),\n",
       " ('ned', 1.120591195386885),\n",
       " ('fay', 1.120591195386885),\n",
       " ('emma', 1.1184149159642893),\n",
       " ('sensitive', 1.113318436057805),\n",
       " ('smooth', 1.1089750757036563),\n",
       " ('dramas', 1.1080910326226534),\n",
       " ('today', 1.1050431789984001),\n",
       " ('helps', 1.1023091505494358),\n",
       " ('inspiring', 1.0986122886681098),\n",
       " ('jimmy', 1.0937696641923216),\n",
       " ('awesome', 1.0931328229034842),\n",
       " ('unique', 1.0881409888008142),\n",
       " ('tragic', 1.0871835928444868),\n",
       " ('intense', 1.0870514662670339),\n",
       " ('stellar', 1.0857088838322018),\n",
       " ('rival', 1.0822184788924332),\n",
       " ('provides', 1.0797081340289569),\n",
       " ('depression', 1.0782034170369026),\n",
       " ('shy', 1.0775588794702773),\n",
       " ('carrie', 1.076139432816051),\n",
       " ('blend', 1.0753554265038423),\n",
       " ('hank', 1.0736109864626924),\n",
       " ('diana', 1.0726368022648489),\n",
       " ('adorable', 1.0726368022648489),\n",
       " ('unexpected', 1.0722255334949147),\n",
       " ('achievement', 1.0668635903535293),\n",
       " ('bettie', 1.0663514264498881),\n",
       " ('happiness', 1.0632729222228008),\n",
       " ('glorious', 1.0608719606852626),\n",
       " ('davis', 1.0541605260972757),\n",
       " ('terrifying', 1.0525211814678428),\n",
       " ('beauty', 1.050410186850232),\n",
       " ('ideal', 1.0479685558493548),\n",
       " ('fears', 1.0467872208035236),\n",
       " ('hong', 1.0438040521731147),\n",
       " ('seasons', 1.0433496099930604),\n",
       " ('fascinating', 1.0414538748281612),\n",
       " ('carries', 1.0345904299031787),\n",
       " ('satisfying', 1.0321225473992768),\n",
       " ('definite', 1.0319209141694374),\n",
       " ('touched', 1.0296194171811581),\n",
       " ('greatest', 1.0248947127715422),\n",
       " ('creates', 1.0241097613701886),\n",
       " ('aunt', 1.023388867430522),\n",
       " ('walter', 1.022328983918479),\n",
       " ('spectacular', 1.0198314108149955),\n",
       " ('portrayal', 1.0189810189761024),\n",
       " ('ann', 1.0127808528183286),\n",
       " ('enterprise', 1.0116009116784799),\n",
       " ('musicals', 1.0096648026516135),\n",
       " ('deeply', 1.0094845087721023),\n",
       " ('incredible', 1.0061677561461084),\n",
       " ('mature', 1.0060195018402847),\n",
       " ('triumph', 0.99682959435816731),\n",
       " ('margaret', 0.99682959435816731),\n",
       " ('navy', 0.99493385919326827),\n",
       " ('harry', 0.99176919305006062),\n",
       " ('lucas', 0.990398704027877),\n",
       " ('sweet', 0.98966110487955483),\n",
       " ('joey', 0.98794672078059009),\n",
       " ('oscar', 0.98721905111049713),\n",
       " ('balance', 0.98649499054740353),\n",
       " ('warm', 0.98485340331145166),\n",
       " ('ages', 0.98449898190068863),\n",
       " ('guilt', 0.98082925301172619),\n",
       " ('glover', 0.98082925301172619),\n",
       " ('carrey', 0.98082925301172619),\n",
       " ('learns', 0.97881108885548895),\n",
       " ('unusual', 0.97788374278196932),\n",
       " ('sons', 0.97777581552483595),\n",
       " ('complex', 0.97761897738147796),\n",
       " ('essence', 0.97753435711487369),\n",
       " ('brazil', 0.9769153536905899),\n",
       " ('widow', 0.97650959186720987),\n",
       " ('solid', 0.97537964824416146),\n",
       " ('beautiful', 0.97326301262841053),\n",
       " ('holmes', 0.97246100334120955),\n",
       " ('awe', 0.97186058302896583),\n",
       " ('vhs', 0.97116734209998934),\n",
       " ('eerie', 0.97116734209998934),\n",
       " ('lonely', 0.96873720724669754),\n",
       " ('grim', 0.96873720724669754),\n",
       " ('sport', 0.96825047080486615),\n",
       " ('debut', 0.96508089604358704),\n",
       " ('destiny', 0.96343751029985703),\n",
       " ('thrillers', 0.96281074750904794),\n",
       " ('tears', 0.95977584381389391),\n",
       " ('rose', 0.95664202739772253),\n",
       " ('feelings', 0.95551144502743635),\n",
       " ('ginger', 0.95551144502743635),\n",
       " ('winning', 0.95471810900804055),\n",
       " ('stanley', 0.95387344302319799),\n",
       " ('cox', 0.95343027882361187),\n",
       " ('paris', 0.95278479030472663),\n",
       " ('heart', 0.95238806924516806),\n",
       " ('hooked', 0.95155887071161305),\n",
       " ('comfortable', 0.94803943018873538),\n",
       " ('mgm', 0.94446160884085151),\n",
       " ('masterpiece', 0.94155039863339296),\n",
       " ('themes', 0.94118828349588235),\n",
       " ('danny', 0.93967118051821874),\n",
       " ('anime', 0.93378388932167222),\n",
       " ('perry', 0.93328830824272613),\n",
       " ('joy', 0.93301752567946861),\n",
       " ('lovable', 0.93081883243706487),\n",
       " ('mysteries', 0.92953595862417571),\n",
       " ('hal', 0.92953595862417571),\n",
       " ('louis', 0.92871325187271225),\n",
       " ('charming', 0.92520609553210742),\n",
       " ('urban', 0.92367083917177761),\n",
       " ('allows', 0.92183091224977043),\n",
       " ('impact', 0.91815814604895041),\n",
       " ('italy', 0.91629073187415511),\n",
       " ('gradually', 0.91629073187415511),\n",
       " ('lifestyle', 0.91629073187415511),\n",
       " ('spy', 0.91289514287301687),\n",
       " ('treat', 0.91193342650519937),\n",
       " ('subsequent', 0.91056005716517008),\n",
       " ('kennedy', 0.90981821736853763),\n",
       " ('loving', 0.90967549275543591),\n",
       " ('surprising', 0.90937028902958128),\n",
       " ('quiet', 0.90648673177753425),\n",
       " ('winter', 0.90624039602065365),\n",
       " ('reveals', 0.90490540964902977),\n",
       " ('raw', 0.90445627422715225),\n",
       " ('funniest', 0.90078654533818991),\n",
       " ('pleased', 0.89994159387262562),\n",
       " ('norman', 0.89994159387262562),\n",
       " ('thief', 0.89874642222324552),\n",
       " ('season', 0.89827222637147675),\n",
       " ('secrets', 0.89794159320595857),\n",
       " ('colorful', 0.89705936994626756),\n",
       " ('highest', 0.8967461358011849),\n",
       " ('compelling', 0.89462923509297576),\n",
       " ('danes', 0.89248008318043659),\n",
       " ('castle', 0.88967708335606499),\n",
       " ('kudos', 0.88889175768604067),\n",
       " ('great', 0.88810470901464589),\n",
       " ('baseball', 0.88730319500090271),\n",
       " ('subtitles', 0.88730319500090271),\n",
       " ('bleak', 0.88730319500090271),\n",
       " ('winner', 0.88643776872447388),\n",
       " ('tragedy', 0.88563699078315261),\n",
       " ('todd', 0.88551907320740142),\n",
       " ('nicely', 0.87924946019380601),\n",
       " ('arthur', 0.87546873735389985),\n",
       " ('essential', 0.87373111745535925),\n",
       " ('gorgeous', 0.8731725250935497),\n",
       " ('fonda', 0.87294029100054127),\n",
       " ('eastwood', 0.87139541196626402),\n",
       " ('focuses', 0.87082835779739776),\n",
       " ('enjoyed', 0.87070195951624607),\n",
       " ('natural', 0.86997924506912838),\n",
       " ('intensity', 0.86835126958503595),\n",
       " ('witty', 0.86824103423244681),\n",
       " ('rob', 0.8642954367557748),\n",
       " ('worlds', 0.86377269759070874),\n",
       " ('health', 0.86113891179907498),\n",
       " ('magical', 0.85953791528170564),\n",
       " ('deeper', 0.85802182375017932),\n",
       " ('lucy', 0.85618680780444956),\n",
       " ('moving', 0.85566611005772031),\n",
       " ('lovely', 0.85290640004681306),\n",
       " ('purple', 0.8513711857748395),\n",
       " ('memorable', 0.84801189112086062),\n",
       " ('sings', 0.84729786038720367),\n",
       " ('craig', 0.84342938360928321),\n",
       " ('modesty', 0.84342938360928321),\n",
       " ('relate', 0.84326559685926517),\n",
       " ('episodes', 0.84223712084137292),\n",
       " ('strong', 0.84167135777060931),\n",
       " ('smith', 0.83959811108590054),\n",
       " ('tear', 0.83704136022001441),\n",
       " ('apartment', 0.83333115290549531),\n",
       " ('princess', 0.83290912293510388),\n",
       " ('disagree', 0.83290912293510388),\n",
       " ('kung', 0.83173334384609199),\n",
       " ('adventure', 0.83150561393278388),\n",
       " ('columbo', 0.82667857318446791),\n",
       " ('jake', 0.82667857318446791),\n",
       " ('adds', 0.82485652591452319),\n",
       " ('hart', 0.82472353834866463),\n",
       " ('strength', 0.82417544296634937),\n",
       " ('realizes', 0.82360006895738058),\n",
       " ('dave', 0.8232003088081431),\n",
       " ('childhood', 0.82208086393583857),\n",
       " ('forbidden', 0.81989888619908913),\n",
       " ('tight', 0.81883539572344199),\n",
       " ('surreal', 0.8178506590609026),\n",
       " ('manager', 0.81770990320170756),\n",
       " ('dancer', 0.81574950265227764),\n",
       " ('studios', 0.81093021621632877),\n",
       " ('con', 0.81093021621632877),\n",
       " ('miike', 0.80821651034473263),\n",
       " ('realistic', 0.80807714723392232),\n",
       " ('explicit', 0.80792269515237358),\n",
       " ('kurt', 0.8060875917405409),\n",
       " ('traditional', 0.80535917116687328),\n",
       " ('deals', 0.80535917116687328),\n",
       " ('holds', 0.80493858654806194),\n",
       " ('carl', 0.80437281567016972),\n",
       " ('touches', 0.80396154690023547),\n",
       " ('gene', 0.80314807577427383),\n",
       " ('albert', 0.8027669055771679),\n",
       " ('abc', 0.80234647252493729),\n",
       " ('cry', 0.80011930011211307),\n",
       " ('sides', 0.7995275841185171),\n",
       " ('develops', 0.79850769621777162),\n",
       " ('eyre', 0.79850769621777162),\n",
       " ('dances', 0.79694397424158891),\n",
       " ('oscars', 0.79633141679517616),\n",
       " ('legendary', 0.79600456599965308),\n",
       " ('hearted', 0.79492987486988764),\n",
       " ('importance', 0.79492987486988764),\n",
       " ('portraying', 0.79356592830699269),\n",
       " ('impressed', 0.79258107754813223),\n",
       " ('waters', 0.79112758892014912),\n",
       " ('empire', 0.79078565012386137),\n",
       " ('edge', 0.789774016249017),\n",
       " ('jean', 0.78845736036427028),\n",
       " ('environment', 0.78845736036427028),\n",
       " ('sentimental', 0.7864791203521645),\n",
       " ('captured', 0.78623760362595729),\n",
       " ('styles', 0.78592891401091158),\n",
       " ('daring', 0.78592891401091158),\n",
       " ('frank', 0.78275933924963248),\n",
       " ('tense', 0.78275933924963248),\n",
       " ('backgrounds', 0.78275933924963248),\n",
       " ('matches', 0.78275933924963248),\n",
       " ('gothic', 0.78209466657644144),\n",
       " ('sharp', 0.7814397877056235),\n",
       " ('achieved', 0.78015855754957497),\n",
       " ('court', 0.77947526404844247),\n",
       " ('steals', 0.7789140023173704),\n",
       " ('rules', 0.77844476107184035),\n",
       " ('colors', 0.77684619943659217),\n",
       " ('reunion', 0.77318988823348167),\n",
       " ('covers', 0.77139937745969345),\n",
       " ('tale', 0.77010822169607374),\n",
       " ('rain', 0.7683706017975328),\n",
       " ('denzel', 0.76804848873306297),\n",
       " ('stays', 0.76787072675588186),\n",
       " ('blob', 0.76725515271366718),\n",
       " ('maria', 0.76214005204689672),\n",
       " ('conventional', 0.76214005204689672),\n",
       " ('fresh', 0.76158434211317383),\n",
       " ('midnight', 0.76096977689870637),\n",
       " ('landscape', 0.75852993982279704),\n",
       " ('animated', 0.75768570169751648),\n",
       " ('titanic', 0.75666058628227129),\n",
       " ('sunday', 0.75666058628227129),\n",
       " ('spring', 0.7537718023763802),\n",
       " ('cagney', 0.7537718023763802),\n",
       " ('enjoyable', 0.75246375771636476),\n",
       " ('immensely', 0.75198768058287868),\n",
       " ('sir', 0.7507762933965817),\n",
       " ('nevertheless', 0.75067102469813185),\n",
       " ('driven', 0.74994477895307854),\n",
       " ('performances', 0.74883252516063137),\n",
       " ('memories', 0.74721440183022114),\n",
       " ('nowadays', 0.74721440183022114),\n",
       " ('simple', 0.74641420974143258),\n",
       " ('golden', 0.74533293373051557),\n",
       " ('leslie', 0.74533293373051557),\n",
       " ('lovers', 0.74497224842453125),\n",
       " ('relationship', 0.74484232345601786),\n",
       " ('supporting', 0.74357803418683721),\n",
       " ('che', 0.74262723782331497),\n",
       " ('packed', 0.7410032017375805),\n",
       " ('trek', 0.74021469141793106),\n",
       " ('provoking', 0.73840377214806618),\n",
       " ('strikes', 0.73759894313077912),\n",
       " ('depiction', 0.73682224406260699),\n",
       " ('emotional', 0.73678211645681524),\n",
       " ('secretary', 0.7366322924996842),\n",
       " ('influenced', 0.73511137965897755),\n",
       " ('florida', 0.73511137965897755),\n",
       " ('germany', 0.73288750920945944),\n",
       " ('brings', 0.73142936713096229),\n",
       " ('lewis', 0.73129894652432159),\n",
       " ('elderly', 0.73088750854279239),\n",
       " ('owner', 0.72743625403857748),\n",
       " ('streets', 0.72666987259858895),\n",
       " ('henry', 0.72642196944481741),\n",
       " ('portrays', 0.72593700338293632),\n",
       " ('bears', 0.7252354951114458),\n",
       " ('china', 0.72489587887452556),\n",
       " ('anger', 0.72439972406404984),\n",
       " ('society', 0.72433010799663333),\n",
       " ('available', 0.72415741730250549),\n",
       " ('best', 0.72347034060446314),\n",
       " ('bugs', 0.72270598280148979),\n",
       " ('magic', 0.71878961117328299),\n",
       " ('delivers', 0.71846498854423513),\n",
       " ('verhoeven', 0.71846498854423513),\n",
       " ('jim', 0.71783979315031676),\n",
       " ('donald', 0.71667767797013937),\n",
       " ('endearing', 0.71465338578090898),\n",
       " ('relationships', 0.71393795022901896),\n",
       " ('greatly', 0.71256526641704687),\n",
       " ('charlie', 0.71024161391924534),\n",
       " ('brad', 0.71024161391924534),\n",
       " ('simon', 0.70967648251115578),\n",
       " ('effectively', 0.70914752190638641),\n",
       " ('march', 0.70774597998109789),\n",
       " ('atmosphere', 0.70744773070214162),\n",
       " ('influence', 0.70733181555190172),\n",
       " ('genius', 0.706392407309966),\n",
       " ('emotionally', 0.70556970055850243),\n",
       " ('ken', 0.70526854109229009),\n",
       " ('identity', 0.70484322032313651),\n",
       " ('sophisticated', 0.70470800296102132),\n",
       " ('dan', 0.70457587638356811),\n",
       " ('andrew', 0.70329955202396321),\n",
       " ('india', 0.70144598337464037),\n",
       " ('roy', 0.69970458110610434),\n",
       " ('surprisingly', 0.6995780708902356),\n",
       " ('sky', 0.69780919366575667),\n",
       " ('romantic', 0.69664981111114743),\n",
       " ('match', 0.69566924999265523),\n",
       " ('meets', 0.69314718055994529),\n",
       " ('cowboy', 0.69314718055994529),\n",
       " ('wave', 0.69314718055994529),\n",
       " ('bitter', 0.69314718055994529),\n",
       " ('patient', 0.69314718055994529),\n",
       " ('stylish', 0.69314718055994529),\n",
       " ('britain', 0.69314718055994529),\n",
       " ('affected', 0.69314718055994529),\n",
       " ('beatty', 0.69314718055994529),\n",
       " ('love', 0.69198533541937324),\n",
       " ('paul', 0.68980827929443067),\n",
       " ('andy', 0.68846333124751902),\n",
       " ('performance', 0.68797386327972465),\n",
       " ('patrick', 0.68645819240914863),\n",
       " ('unlike', 0.68546468438792907),\n",
       " ('brooks', 0.68433655087779044),\n",
       " ('refuses', 0.68348526964820844),\n",
       " ('award', 0.6824518914431974),\n",
       " ('complaint', 0.6824518914431974),\n",
       " ('ride', 0.68229716453587952),\n",
       " ('dawson', 0.68171848473632257),\n",
       " ('luke', 0.68158635815886937),\n",
       " ('wells', 0.68087708796813096),\n",
       " ('france', 0.6804081547825156),\n",
       " ('sports', 0.68007509899259255),\n",
       " ('handsome', 0.68007509899259255),\n",
       " ('directs', 0.67875844310784572),\n",
       " ('rebel', 0.67875844310784572),\n",
       " ('greater', 0.67605274720064523),\n",
       " ('dreams', 0.67599410133369586),\n",
       " ('effective', 0.67565402311242806),\n",
       " ('interpretation', 0.67479804189174875),\n",
       " ('works', 0.67445504754779284),\n",
       " ('brando', 0.67445504754779284),\n",
       " ('noble', 0.6737290947028437),\n",
       " ('paced', 0.67314651385327573),\n",
       " ('le', 0.67067432470788668),\n",
       " ('master', 0.67015766233524654),\n",
       " ('h', 0.6696166831497512),\n",
       " ('rings', 0.66904962898088483),\n",
       " ('easy', 0.66895995494594152),\n",
       " ('city', 0.66820823221269321),\n",
       " ('sunshine', 0.66782937257565544),\n",
       " ('succeeds', 0.66647893347778397),\n",
       " ('relations', 0.664159643686693),\n",
       " ('england', 0.66387679825983203),\n",
       " ('glimpse', 0.66329421741026418),\n",
       " ('aired', 0.66268797307523675),\n",
       " ('sees', 0.66263163663399482),\n",
       " ('both', 0.66248336767382998),\n",
       " ('definitely', 0.66199789483898808),\n",
       " ('imaginative', 0.66139848224536502),\n",
       " ('appreciate', 0.66083893732728749),\n",
       " ('tricks', 0.66071190480679143),\n",
       " ('striking', 0.66071190480679143),\n",
       " ('carefully', 0.65999497324304479),\n",
       " ('complicated', 0.65981076029235353),\n",
       " ('perspective', 0.65962448852130173),\n",
       " ('trilogy', 0.65877953705573755),\n",
       " ('future', 0.65834665141052828),\n",
       " ('lion', 0.65742909795786608),\n",
       " ('douglas', 0.65540685257709819),\n",
       " ('victor', 0.65540685257709819),\n",
       " ('inspired', 0.65459851044271034),\n",
       " ('marriage', 0.65392646740666405),\n",
       " ('demands', 0.65392646740666405),\n",
       " ('father', 0.65172321672194655),\n",
       " ('page', 0.65123628494430852),\n",
       " ('instant', 0.65058756614114943),\n",
       " ('era', 0.6495567444850836),\n",
       " ('ruthless', 0.64934455790155243),\n",
       " ('saga', 0.64934455790155243),\n",
       " ('joan', 0.64891392558311978),\n",
       " ('joseph', 0.64841128671855386),\n",
       " ('workers', 0.64829661439459352),\n",
       " ('fantasy', 0.64726757480925168),\n",
       " ('distant', 0.64551913157069074),\n",
       " ('accomplished', 0.64551913157069074),\n",
       " ('manhattan', 0.64435701639051324),\n",
       " ('personal', 0.64355023942057321),\n",
       " ('meeting', 0.64313675998528386),\n",
       " ('individual', 0.64313675998528386),\n",
       " ('pushing', 0.64313675998528386),\n",
       " ('pleasant', 0.64250344774119039),\n",
       " ('brave', 0.64185388617239469),\n",
       " ('william', 0.64083139119578469),\n",
       " ('hudson', 0.64077919504262937),\n",
       " ('friendly', 0.63949446706762514),\n",
       " ('eccentric', 0.63907995928966954),\n",
       " ('awards', 0.63875310849414646),\n",
       " ('jack', 0.63838309514997038),\n",
       " ('seeking', 0.63808740337691783),\n",
       " ('divorce', 0.63757732940513456),\n",
       " ('colonel', 0.63757732940513456),\n",
       " ('jane', 0.63443957973316734),\n",
       " ('keeping', 0.63414883979798953),\n",
       " ('gives', 0.63383568159497883),\n",
       " ('ted', 0.63342794585832296),\n",
       " ('animation', 0.63208692379869902),\n",
       " ('progress', 0.6317782341836532),\n",
       " ('larger', 0.63127177684185776),\n",
       " ('concert', 0.63127177684185776),\n",
       " ('nation', 0.6296337748376194),\n",
       " ('albeit', 0.62739580299716491),\n",
       " ('adapted', 0.62613647027698516),\n",
       " ('discovers', 0.62542900650499444),\n",
       " ('classic', 0.62504956428050518),\n",
       " ('segment', 0.62335141862440335),\n",
       " ('morgan', 0.62303761437291871),\n",
       " ('mouse', 0.62294292188669675),\n",
       " ('impressive', 0.62211140744319349),\n",
       " ('artist', 0.62168821657780038),\n",
       " ('ultimate', 0.62168821657780038),\n",
       " ('griffith', 0.62117368093485603),\n",
       " ('drew', 0.62082651898031915),\n",
       " ('emily', 0.62082651898031915),\n",
       " ('moved', 0.6197197120051281),\n",
       " ('families', 0.61903920840622351),\n",
       " ('profound', 0.61903920840622351),\n",
       " ('innocent', 0.61851219917136446),\n",
       " ('versions', 0.61730910416844087),\n",
       " ('eddie', 0.61691981517206107),\n",
       " ('criticism', 0.61651395453902935),\n",
       " ('nature', 0.61594514653194088),\n",
       " ('recognized', 0.61518563909023349),\n",
       " ('sexuality', 0.61467556511845012),\n",
       " ('contract', 0.61400986000122149),\n",
       " ('brian', 0.61344043794920278),\n",
       " ('remembered', 0.6131044728864089),\n",
       " ('determined', 0.6123858239154869),\n",
       " ('offers', 0.61207935747116349),\n",
       " ('pleasure', 0.61195702582993206),\n",
       " ('washington', 0.61180154110599294),\n",
       " ('images', 0.61159731359583758),\n",
       " ('games', 0.61067095873570676),\n",
       " ('academy', 0.60872983874736208),\n",
       " ('fashioned', 0.60798937221963845),\n",
       " ('melodrama', 0.60749173598145145),\n",
       " ('rough', 0.60613580357031549),\n",
       " ('charismatic', 0.60613580357031549),\n",
       " ('peoples', 0.60613580357031549),\n",
       " ('dealing', 0.60517840761398811),\n",
       " ('fine', 0.60496962268013299),\n",
       " ('tap', 0.60391604683200273),\n",
       " ('trio', 0.60157998703445481),\n",
       " ('russell', 0.60120968523425966),\n",
       " ('figures', 0.60077386042893011),\n",
       " ('ward', 0.60005675749393339),\n",
       " ('shine', 0.59911823091166894),\n",
       " ('brady', 0.59911823091166894),\n",
       " ('job', 0.59845562125168661),\n",
       " ('satisfied', 0.59652034487087369),\n",
       " ('river', 0.59637962862495086),\n",
       " ('brown', 0.595773016534769),\n",
       " ('believable', 0.59566072133302495),\n",
       " ('always', 0.59470710774669278),\n",
       " ('bound', 0.59470710774669278),\n",
       " ('hall', 0.5933967777928858),\n",
       " ('cook', 0.5916777203950857),\n",
       " ('claire', 0.59136448625000293),\n",
       " ('broadway', 0.59033768669372433),\n",
       " ('anna', 0.58778666490211906),\n",
       " ('peace', 0.58628403501758408),\n",
       " ('visually', 0.58539431926349916),\n",
       " ('morality', 0.58525821854876026),\n",
       " ('falk', 0.58525821854876026),\n",
       " ('growing', 0.58466653756587539),\n",
       " ('experiences', 0.58314628534561685),\n",
       " ('stood', 0.58314628534561685),\n",
       " ('touch', 0.58122926435596001),\n",
       " ('lives', 0.5810976767513224),\n",
       " ('kubrick', 0.58066919713325493),\n",
       " ('timing', 0.58047401805583243),\n",
       " ('expressions', 0.57981849525294216),\n",
       " ('struggles', 0.57981849525294216),\n",
       " ('authentic', 0.57848427223980559),\n",
       " ('helen', 0.57763429343810091),\n",
       " ('pre', 0.57700753064729182),\n",
       " ('quirky', 0.5753641449035618),\n",
       " ('young', 0.57531672344534313),\n",
       " ('inner', 0.57454143815209846),\n",
       " ('mexico', 0.57443087372056334),\n",
       " ('clint', 0.57380042292737909),\n",
       " ('sisters', 0.57286101468544337),\n",
       " ('realism', 0.57226528899949558),\n",
       " ('french', 0.5720692490067093),\n",
       " ('personalities', 0.5720692490067093),\n",
       " ('surprises', 0.57113222999698177),\n",
       " ('adventures', 0.57113222999698177),\n",
       " ('overcome', 0.5697681593994407),\n",
       " ('timothy', 0.56953322459276867),\n",
       " ('tales', 0.56909453188996639),\n",
       " ('war', 0.56843317302781682),\n",
       " ('civil', 0.5679840376059393),\n",
       " ('countries', 0.56737779327091187),\n",
       " ('streep', 0.56710645966458029),\n",
       " ('tradition', 0.56685345523565323),\n",
       " ('oliver', 0.56673325570428668),\n",
       " ('australia', 0.56580775818334383),\n",
       " ('understanding', 0.56531380905006046),\n",
       " ('players', 0.56509525370004821),\n",
       " ('knowing', 0.56489284503626647),\n",
       " ('rogers', 0.56421349718405212),\n",
       " ('suspenseful', 0.56368911332305849),\n",
       " ('variety', 0.56368911332305849),\n",
       " ('true', 0.56281525180810066),\n",
       " ('jr', 0.56220982311246936),\n",
       " ('psychological', 0.56108745854687891),\n",
       " ('sent', 0.55961578793542266),\n",
       " ('grand', 0.55961578793542266),\n",
       " ('branagh', 0.55961578793542266),\n",
       " ('reminiscent', 0.55961578793542266),\n",
       " ('performing', 0.55961578793542266),\n",
       " ('wealth', 0.55961578793542266),\n",
       " ('overwhelming', 0.55961578793542266),\n",
       " ('odds', 0.55961578793542266),\n",
       " ('brothers', 0.55891181043362848),\n",
       " ('howard', 0.55811089675600245),\n",
       " ('david', 0.55693122256475369),\n",
       " ('generation', 0.55628799784274796),\n",
       " ('grow', 0.55612538299565417),\n",
       " ('survival', 0.55594605904646033),\n",
       " ('mainstream', 0.55574731115750231),\n",
       " ('dick', 0.55431073570572953),\n",
       " ('charm', 0.55288175575407861),\n",
       " ('kirk', 0.55278982286502287),\n",
       " ('twists', 0.55244729845681018),\n",
       " ('gangster', 0.55206858230003986),\n",
       " ('jeff', 0.55179306225421365),\n",
       " ('family', 0.55116244510065526),\n",
       " ('tend', 0.55053307336110335),\n",
       " ('thanks', 0.55049088015842218),\n",
       " ('world', 0.54744234723432639),\n",
       " ('sutherland', 0.54743536937855164),\n",
       " ('life', 0.54695514434959924),\n",
       " ('disc', 0.54654370636806993),\n",
       " ('bug', 0.54654370636806993),\n",
       " ('tribute', 0.5455111817538808),\n",
       " ('europe', 0.54522705048332309),\n",
       " ('sacrifice', 0.54430155296238014),\n",
       " ('color', 0.54405127139431109),\n",
       " ('superior', 0.54333490233128523),\n",
       " ('york', 0.54318235866536513),\n",
       " ('pulls', 0.54266622962164945),\n",
       " ('jackson', 0.54232429082536171),\n",
       " ('hearts', 0.54232429082536171),\n",
       " ('enjoy', 0.54124285135906114),\n",
       " ('redemption', 0.54056759296472823),\n",
       " ('madness', 0.540384426007535),\n",
       " ('stands', 0.5389965007326869),\n",
       " ('trial', 0.5389965007326869),\n",
       " ('greek', 0.5389965007326869),\n",
       " ('hamilton', 0.5389965007326869),\n",
       " ('each', 0.5388212312554177),\n",
       " ('faithful', 0.53773307668591508),\n",
       " ('received', 0.5372768098531604),\n",
       " ('documentaries', 0.53714293208336406),\n",
       " ('jealous', 0.53714293208336406),\n",
       " ('different', 0.53709860682460819),\n",
       " ('describes', 0.53680111016925136),\n",
       " ('shorts', 0.53596159703753288),\n",
       " ('brilliance', 0.53551823635636209),\n",
       " ('mountains', 0.53492317534505118),\n",
       " ('share', 0.53408248593025787),\n",
       " ('dealt', 0.53408248593025787),\n",
       " ('providing', 0.53329847961804933),\n",
       " ('explore', 0.53329847961804933),\n",
       " ('series', 0.5325809226575603),\n",
       " ('fellow', 0.5323318289869543),\n",
       " ('loves', 0.53062825106217038),\n",
       " ('revolution', 0.53062825106217038),\n",
       " ('olivier', 0.53062825106217038),\n",
       " ('roman', 0.53062825106217038),\n",
       " ('century', 0.53002783074992665),\n",
       " ('musical', 0.52966871156747064),\n",
       " ('heroic', 0.52925932545482868),\n",
       " ('approach', 0.52806743020049673),\n",
       " ('ironically', 0.52806743020049673),\n",
       " ('temple', 0.52806743020049673),\n",
       " ('moves', 0.5279372642387119),\n",
       " ('gift', 0.52702030968597136),\n",
       " ('julie', 0.52609309589677911),\n",
       " ('tells', 0.52415107836314001),\n",
       " ('radio', 0.52394671172868779),\n",
       " ('uncle', 0.52354439617376536),\n",
       " ('union', 0.52324814376454787),\n",
       " ('deep', 0.52309571635780505),\n",
       " ('reminds', 0.52157841554225237),\n",
       " ('famous', 0.52118841080153722),\n",
       " ('jazz', 0.52053443789295151),\n",
       " ('dennis', 0.51987545928590861),\n",
       " ('epic', 0.51919387343650736),\n",
       " ('adult', 0.519167695083386),\n",
       " ('shows', 0.51915322220375304),\n",
       " ('performed', 0.5191244265806858),\n",
       " ('demons', 0.5191244265806858),\n",
       " ('discovered', 0.51879379341516751),\n",
       " ('eric', 0.51879379341516751),\n",
       " ('youth', 0.5185626062681431),\n",
       " ('human', 0.51851411224987087),\n",
       " ('tarzan', 0.51813827061227724),\n",
       " ('ourselves', 0.51794309153485463),\n",
       " ('wwii', 0.51758240622887042),\n",
       " ('passion', 0.5162164724008671),\n",
       " ('desire', 0.51607497965213445),\n",
       " ('pays', 0.51581316527702981),\n",
       " ('dirty', 0.51557622652458857),\n",
       " ('fox', 0.51557622652458857),\n",
       " ('sympathetic', 0.51546600332249293),\n",
       " ('symbolism', 0.51546600332249293),\n",
       " ('attitude', 0.51530993621331933),\n",
       " ('appearances', 0.51466440007315639),\n",
       " ('jeremy', 0.51466440007315639),\n",
       " ('fun', 0.51439068993048687),\n",
       " ('south', 0.51420972175023116),\n",
       " ('arrives', 0.51409894911095988),\n",
       " ('present', 0.51341965894303732),\n",
       " ('com', 0.51326167856387173),\n",
       " ('smile', 0.51265880484765169),\n",
       " ('alan', 0.51082562376599072),\n",
       " ('ring', 0.51082562376599072),\n",
       " ('visit', 0.51082562376599072),\n",
       " ('fits', 0.51082562376599072),\n",
       " ('provided', 0.51082562376599072),\n",
       " ('carter', 0.51082562376599072),\n",
       " ('aging', 0.51082562376599072),\n",
       " ('countryside', 0.51082562376599072),\n",
       " ('begins', 0.51015650363396647),\n",
       " ('success', 0.50900578704900468),\n",
       " ('japan', 0.50900578704900468),\n",
       " ('accurate', 0.50895471583017893),\n",
       " ('proud', 0.50800474742434931),\n",
       " ('daily', 0.5075946031845443),\n",
       " ('karloff', 0.50724780241810674),\n",
       " ('atmospheric', 0.50724780241810674),\n",
       " ('recently', 0.50714914903668207),\n",
       " ('fu', 0.50704490092608467),\n",
       " ('horrors', 0.50656122497953315),\n",
       " ('finding', 0.50637127341661037),\n",
       " ('lust', 0.5059356384717989),\n",
       " ('hitchcock', 0.50574947073413001),\n",
       " ('among', 0.50334004951332734),\n",
       " ('viewing', 0.50302139827440906),\n",
       " ('investigation', 0.50262885656181222),\n",
       " ('shining', 0.50262885656181222),\n",
       " ('duo', 0.5020919437972361),\n",
       " ('cameron', 0.5020919437972361),\n",
       " ('finds', 0.50128303100539795),\n",
       " ('contemporary', 0.50077528791248915),\n",
       " ('genuine', 0.50046283673044401),\n",
       " ('frightening', 0.49995595152908684),\n",
       " ('plays', 0.49975983848890226),\n",
       " ('age', 0.49941323171424595),\n",
       " ('position', 0.49899116611898781),\n",
       " ('continues', 0.49863035067217237),\n",
       " ('roles', 0.49839716550752178),\n",
       " ('james', 0.49837216269470402),\n",
       " ('individuals', 0.49824684155913052),\n",
       " ('brought', 0.49783842823917956),\n",
       " ('hilarious', 0.49714551986191058),\n",
       " ('brutal', 0.49681488669639234),\n",
       " ('appropriate', 0.49643688631389105),\n",
       " ('dance', 0.49581998314812048),\n",
       " ('league', 0.49578774640145024),\n",
       " ('helping', 0.49578774640145024),\n",
       " ('answers', 0.49578774640145024),\n",
       " ('stunts', 0.49561620510246196),\n",
       " ('traveling', 0.49532143723002542),\n",
       " ('thoroughly', 0.49414593456733524),\n",
       " ('depicted', 0.49317068852726992),\n",
       " ('combination', 0.49247648509779424),\n",
       " ('honor', 0.49247648509779424),\n",
       " ('differences', 0.49247648509779424),\n",
       " ('fully', 0.49213349075383811),\n",
       " ('tracy', 0.49159426183810306),\n",
       " ('battles', 0.49140753790888908),\n",
       " ('possibility', 0.49112055268665822),\n",
       " ('romance', 0.4901589869574316),\n",
       " ('initially', 0.49002249613622745),\n",
       " ('happy', 0.4898997500608791),\n",
       " ('crime', 0.48977221456815834),\n",
       " ('singing', 0.4893852925281213),\n",
       " ('especially', 0.48901267837860624),\n",
       " ('shakespeare', 0.48754793889664511),\n",
       " ('hugh', 0.48729512635579658),\n",
       " ('detail', 0.48609484250827351),\n",
       " ('julia', 0.48550781578170082),\n",
       " ('san', 0.48550781578170082),\n",
       " ('guide', 0.48550781578170082),\n",
       " ('desperation', 0.48550781578170082),\n",
       " ('companion', 0.48550781578170082),\n",
       " ('strongly', 0.48460242866688824),\n",
       " ('necessary', 0.48302334245403883),\n",
       " ('humanity', 0.48265474679929443),\n",
       " ('drama', 0.48221998493060503),\n",
       " ('nonetheless', 0.48183808689273838),\n",
       " ('intrigue', 0.48183808689273838),\n",
       " ('warming', 0.48183808689273838),\n",
       " ('cuba', 0.48183808689273838),\n",
       " ('planned', 0.47957308026188628),\n",
       " ('pictures', 0.47929937011921681),\n",
       " ('broadcast', 0.47849024312305422),\n",
       " ('nine', 0.47803580094299974),\n",
       " ('settings', 0.47743860773325364),\n",
       " ('history', 0.47732966933780852),\n",
       " ('ordinary', 0.47725880012690741),\n",
       " ('trade', 0.47692407209030935),\n",
       " ('official', 0.47608267532211779),\n",
       " ('primary', 0.47608267532211779),\n",
       " ('episode', 0.47529620261150429),\n",
       " ('role', 0.47520268270188676),\n",
       " ('spirit', 0.47477690799839323),\n",
       " ('grey', 0.47409361449726067),\n",
       " ('ways', 0.47323464982718205),\n",
       " ('cup', 0.47260441094579297),\n",
       " ('piano', 0.47260441094579297),\n",
       " ('familiar', 0.47241617565111949),\n",
       " ('sinister', 0.47198579044972683),\n",
       " ('reveal', 0.47171449364936496),\n",
       " ('max', 0.47150852042515579),\n",
       " ('dated', 0.47121648567094482),\n",
       " ('losing', 0.47000362924573563),\n",
       " ('discovery', 0.47000362924573563),\n",
       " ('vicious', 0.47000362924573563),\n",
       " ('genuinely', 0.46871413841586385),\n",
       " ('hatred', 0.46734051182625186),\n",
       " ('mistaken', 0.46702300110759781),\n",
       " ('dream', 0.46608972992459924),\n",
       " ('challenge', 0.46608972992459924),\n",
       " ('crisis', 0.46575733836428446),\n",
       " ('photographed', 0.46488852857896512),\n",
       " ('critics', 0.46430560813109778),\n",
       " ('bird', 0.46430560813109778),\n",
       " ('machines', 0.46430560813109778),\n",
       " ('born', 0.46411383518967209),\n",
       " ('detective', 0.4636633473511525),\n",
       " ('higher', 0.46328467899699055),\n",
       " ('remains', 0.46262352194811296),\n",
       " ('inevitable', 0.46262352194811296),\n",
       " ('soviet', 0.4618180446592961),\n",
       " ('ryan', 0.46134556650262099),\n",
       " ('african', 0.46112595521371813),\n",
       " ('smaller', 0.46081520319132935),\n",
       " ('techniques', 0.46052488529119184),\n",
       " ('information', 0.46034171833399862),\n",
       " ('deserved', 0.45999798712841444),\n",
       " ('lynch', 0.45953232937844013),\n",
       " ('spielberg', 0.45953232937844013),\n",
       " ('cynical', 0.45953232937844013),\n",
       " ('tour', 0.45953232937844013),\n",
       " ('francisco', 0.45953232937844013),\n",
       " ('struggle', 0.45911782160048453),\n",
       " ('language', 0.45902121257712653),\n",
       " ('visual', 0.45823514408822852),\n",
       " ('warner', 0.45724137763188427),\n",
       " ('social', 0.45720078250735313),\n",
       " ('reality', 0.45719346885019546),\n",
       " ('hidden', 0.45675840249571492),\n",
       " ('breaking', 0.45601738727099561),\n",
       " ('sometimes', 0.45563021171182794),\n",
       " ('modern', 0.45500247579345005),\n",
       " ('surfing', 0.45425527227759638),\n",
       " ('popular', 0.45410691533051023),\n",
       " ('surprised', 0.4534409399850382),\n",
       " ('follows', 0.45245361754408348),\n",
       " ('keeps', 0.45234869400701483),\n",
       " ('john', 0.4520909494482197),\n",
       " ('mixed', 0.45198512374305722),\n",
       " ('defeat', 0.45198512374305722),\n",
       " ('justice', 0.45142724367280018),\n",
       " ('treasure', 0.45083371313801535),\n",
       " ('presents', 0.44973793178615257),\n",
       " ('years', 0.44919197032104968),\n",
       " ('chief', 0.44895022004790319),\n",
       " ('shadows', 0.44802472252696035),\n",
       " ('closely', 0.44701411102103689),\n",
       " ('segments', 0.44701411102103689),\n",
       " ('lose', 0.44658335503763702),\n",
       " ('caine', 0.44628710262841953),\n",
       " ('caught', 0.44610275383999071),\n",
       " ('hamlet', 0.44558510189758965),\n",
       " ('chinese', 0.44507424620321018),\n",
       " ('welcome', 0.44438052435783792),\n",
       " ('birth', 0.44368632092836219),\n",
       " ('represents', 0.44320543609101143),\n",
       " ('puts', 0.44279106572085081),\n",
       " ('visuals', 0.44183275227903923),\n",
       " ('fame', 0.44183275227903923),\n",
       " ('closer', 0.44183275227903923),\n",
       " ('web', 0.44183275227903923),\n",
       " ('criminal', 0.4412745608048752),\n",
       " ('minor', 0.4409224199448939),\n",
       " ('jon', 0.44086703515908027),\n",
       " ('liked', 0.44074991514020723),\n",
       " ('restaurant', 0.44031183943833246),\n",
       " ('de', 0.43983275161237217),\n",
       " ('flaws', 0.43983275161237217),\n",
       " ('searching', 0.4393666597838457),\n",
       " ('rap', 0.43891304217570443),\n",
       " ('light', 0.43884433018199892),\n",
       " ('elizabeth', 0.43872232986464677),\n",
       " ('marry', 0.43861731542506488),\n",
       " ('learned', 0.43825493093115531),\n",
       " ('controversial', 0.43825493093115531),\n",
       " ('oz', 0.43825493093115531),\n",
       " ('slowly', 0.43785660389939979),\n",
       " ('comedic', 0.43721380642274466),\n",
       " ('wayne', 0.43721380642274466),\n",
       " ('thrilling', 0.43721380642274466),\n",
       " ('bridge', 0.43721380642274466),\n",
       " ('married', 0.43658501682196887),\n",
       " ('nazi', 0.4361020775700542),\n",
       " ('murder', 0.4353180712578455),\n",
       " ('physical', 0.4353180712578455),\n",
       " ('johnny', 0.43483971678806865),\n",
       " ('michelle', 0.43445264498141672),\n",
       " ('wallace', 0.43403848055222038),\n",
       " ('comedies', 0.43395706390247063),\n",
       " ('silent', 0.43395706390247063),\n",
       " ('played', 0.43387244114515305),\n",
       " ('international', 0.43363598507486073),\n",
       " ('vision', 0.43286408229627887),\n",
       " ('intelligent', 0.43196704885367099),\n",
       " ('shop', 0.43078291609245434),\n",
       " ('also', 0.43036720209769169),\n",
       " ('levels', 0.4302451371066513),\n",
       " ('miss', 0.43006426712153217),\n",
       " ('movement', 0.4295626596872249),\n",
       " ...]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# words most frequently seen in a review with a \"POSITIVE\" label\n",
    "pos_neg_ratios.most_common()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('boll', -4.0778152602708904),\n",
       " ('uwe', -3.9218753018711578),\n",
       " ('seagal', -3.3202501058581921),\n",
       " ('unwatchable', -3.0269848170580955),\n",
       " ('stinker', -2.9876839403711624),\n",
       " ('mst', -2.7753833211707968),\n",
       " ('incoherent', -2.7641396677532537),\n",
       " ('unfunny', -2.5545257844967644),\n",
       " ('waste', -2.4907515123361046),\n",
       " ('blah', -2.4475792789485005),\n",
       " ('horrid', -2.3715779644809971),\n",
       " ('pointless', -2.3451073877136341),\n",
       " ('atrocious', -2.3187369339642556),\n",
       " ('redeeming', -2.2667790015910296),\n",
       " ('prom', -2.2601040980178784),\n",
       " ('drivel', -2.2476029585766928),\n",
       " ('lousy', -2.2118080125207054),\n",
       " ('worst', -2.1930856334332267),\n",
       " ('laughable', -2.172468615469592),\n",
       " ('awful', -2.1385076866397488),\n",
       " ('poorly', -2.1326133844207011),\n",
       " ('wasting', -2.1178155545614512),\n",
       " ('remotely', -2.111046881095167),\n",
       " ('existent', -2.0024805005437076),\n",
       " ('boredom', -1.9241486572738005),\n",
       " ('miserably', -1.9216610938019989),\n",
       " ('sucks', -1.9166645809588516),\n",
       " ('uninspired', -1.9131499212248517),\n",
       " ('lame', -1.9117232884159072),\n",
       " ('insult', -1.9085323769376259)]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# words most frequently seen in a review with a \"NEGATIVE\" label\n",
    "list(reversed(pos_neg_ratios.most_common()))[0:30]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transforming Text into Numbers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiIAAAFKCAYAAAAg+zSAAAAABGdBTUEAALGPC/xhBQAAACBjSFJN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\nAH0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "\n",
    "review = \"This was a horrible, terrible movie.\"\n",
    "\n",
    "Image(filename='sentiment_network.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi4AAAECCAYAAADZzFwPAAAABGdBTUEAALGPC/xhBQAAACBjSFJN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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "review = \"The movie was excellent\"\n",
    "\n",
    "Image(filename='sentiment_network_pos.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Project 2: Creating the Input/Output Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "74074\n"
     ]
    }
   ],
   "source": [
    "vocab = set(total_counts.keys())\n",
    "vocab_size = len(vocab)\n",
    "print(vocab_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " 'nihilistically',\n",
       " 'natsuyagi',\n",
       " 'coin',\n",
       " 'empt',\n",
       " 'dimentional',\n",
       " 'cinematography',\n",
       " 'kitch',\n",
       " 'buffoonish',\n",
       " 'formatting',\n",
       " 'trudging',\n",
       " 'joked',\n",
       " 'twit',\n",
       " 'snipping',\n",
       " 'sachin',\n",
       " 'alight',\n",
       " 'thanklessly',\n",
       " 'rifted',\n",
       " 'eriko',\n",
       " 'derriere',\n",
       " 'undeliverable',\n",
       " 'witch',\n",
       " 'shapeshifter',\n",
       " 'conmen',\n",
       " 'donati',\n",
       " 'seadly',\n",
       " 'kilometers',\n",
       " 'unrurly',\n",
       " 'sensationalized',\n",
       " 'phili',\n",
       " 'deliver',\n",
       " 'gaita',\n",
       " 'forbidden',\n",
       " 'hagerthy',\n",
       " 'recreational',\n",
       " 'silvio',\n",
       " 'sanderson',\n",
       " 'beek',\n",
       " 'happens',\n",
       " 'his',\n",
       " 'tolerates',\n",
       " 'fannn',\n",
       " 'jawline',\n",
       " 'servicable',\n",
       " 'benumbed',\n",
       " 'illona',\n",
       " 'prowled',\n",
       " 'dardino',\n",
       " 'tomie',\n",
       " 'craparama',\n",
       " 'paiva',\n",
       " 'hve',\n",
       " 'fairly',\n",
       " 'hyperactive',\n",
       " 'trundles',\n",
       " 'ambiguous',\n",
       " 'delhomme',\n",
       " 'dinsdale',\n",
       " 'schecky',\n",
       " 'bedpost',\n",
       " 'helper',\n",
       " 'jettisoned',\n",
       " 'subscriber',\n",
       " 'utilizing',\n",
       " 'consulate',\n",
       " 'catalogue',\n",
       " 'parris',\n",
       " 'goofball',\n",
       " 'hoopers',\n",
       " 'oaths',\n",
       " 'csi',\n",
       " 'gravedigger',\n",
       " 'ottaviano',\n",
       " 'ghostwriting',\n",
       " 'superwonderscope',\n",
       " 'pay',\n",
       " 'madagascar',\n",
       " 'maloni',\n",
       " 'whytefox',\n",
       " 'schematically',\n",
       " 'taiwanese',\n",
       " 'chihiro',\n",
       " 'home',\n",
       " 'hotshots',\n",
       " 'arrest',\n",
       " 'blabbermouth',\n",
       " 'ghatak',\n",
       " 'proudly',\n",
       " 'caesars',\n",
       " 'natal',\n",
       " 'incisions',\n",
       " 'vin',\n",
       " 'dishum',\n",
       " 'confinement',\n",
       " 'gauntlet',\n",
       " 'nitrous',\n",
       " 'pealed',\n",
       " 'hornophobic',\n",
       " 'mustang',\n",
       " 'dropped',\n",
       " 'recapping',\n",
       " 'bajpai',\n",
       " 'grable',\n",
       " 'reformed',\n",
       " 'yousef',\n",
       " 'laps',\n",
       " 'outhouse',\n",
       " 'blend',\n",
       " 'erik',\n",
       " 'mikis',\n",
       " 'jacket',\n",
       " 'whack',\n",
       " 'grocer',\n",
       " 'halve',\n",
       " 'crediting',\n",
       " 'conehead',\n",
       " 'breathing',\n",
       " 'dovey',\n",
       " 'niccolo',\n",
       " 'bombast',\n",
       " 'downscaled',\n",
       " 'rockc',\n",
       " 'nozawa',\n",
       " 'immodest',\n",
       " 'shiftless',\n",
       " 'robt',\n",
       " 'dreads',\n",
       " 'steen',\n",
       " 'specifics',\n",
       " 'gorey',\n",
       " 'coupling',\n",
       " 'serbia',\n",
       " 'reforms',\n",
       " 'inflexed',\n",
       " 'surest',\n",
       " 'ceeb',\n",
       " 'tamako',\n",
       " 'icecube',\n",
       " 'bonaire',\n",
       " 'turaquistan',\n",
       " 'touches',\n",
       " 'turnout',\n",
       " 'explosively',\n",
       " 'boooo',\n",
       " 'chace',\n",
       " 'stylish',\n",
       " 'obstacle',\n",
       " 'disengorges',\n",
       " 'bobbi',\n",
       " 'troma',\n",
       " 'hollywoodish',\n",
       " 'fundamentalism',\n",
       " 'hagelin',\n",
       " 'christiany',\n",
       " 'privation',\n",
       " 'fabrics',\n",
       " 'hating',\n",
       " 'outnumber',\n",
       " 'boran',\n",
       " 'archived',\n",
       " 'peeping',\n",
       " 'tytus',\n",
       " 'kamp',\n",
       " 'cancun',\n",
       " 'misogyny',\n",
       " 'overrides',\n",
       " 'electing',\n",
       " 'micheal',\n",
       " 'pallette',\n",
       " 'knauf',\n",
       " 'prelude',\n",
       " 'rupp',\n",
       " 'morricones',\n",
       " 'prone',\n",
       " 'crawling',\n",
       " 'rhymer',\n",
       " 'locations',\n",
       " 'stark',\n",
       " 'repetitevness',\n",
       " 'yasutake',\n",
       " 'subtlely',\n",
       " 'bolkin',\n",
       " 'es',\n",
       " 'externalization',\n",
       " 'neighbourhood',\n",
       " 'delectable',\n",
       " 'biohazard',\n",
       " 'michael',\n",
       " 'medicine',\n",
       " 'impresses',\n",
       " 'sentence',\n",
       " 'beswicke',\n",
       " 'ramping',\n",
       " 'allison',\n",
       " 'user',\n",
       " 'unability',\n",
       " 'harlins',\n",
       " 'jacquelyn',\n",
       " 'stock',\n",
       " 'bordello',\n",
       " 'colwell',\n",
       " 'mccaid',\n",
       " 'flirtation',\n",
       " 'interweaving',\n",
       " 'oak',\n",
       " 'intelligentsia',\n",
       " 'hyun',\n",
       " 'goo',\n",
       " 'weak',\n",
       " 'balaguero',\n",
       " 'purpose',\n",
       " 'wedlock',\n",
       " 'acknowledgements',\n",
       " 'schimmer',\n",
       " 'steiner',\n",
       " 'bureaucrats',\n",
       " 'xiv',\n",
       " 'creaters',\n",
       " 'majo',\n",
       " 'kasi',\n",
       " 'lizzette',\n",
       " 'manuals',\n",
       " 'receptionists',\n",
       " 'negotiations',\n",
       " 'stroppy',\n",
       " 'bismarck',\n",
       " 'austreheim',\n",
       " 'mccarten',\n",
       " 'animalistic',\n",
       " 'pippin',\n",
       " 'accusations',\n",
       " 'iberian',\n",
       " 'sputnick',\n",
       " 'francophile',\n",
       " 'symbiotes',\n",
       " 'rapeing',\n",
       " 'foundling',\n",
       " 'pixote',\n",
       " 'gunn',\n",
       " 'incandescent',\n",
       " 'soundly',\n",
       " 'lickin',\n",
       " 'smoky',\n",
       " 'slotted',\n",
       " 'reclaims',\n",
       " 'uplifting',\n",
       " 'standup',\n",
       " 'soundproof',\n",
       " 'villarona',\n",
       " 'shudderingly',\n",
       " 'weave',\n",
       " 'philandering',\n",
       " 'spraying',\n",
       " 'excoriating',\n",
       " 'templeton',\n",
       " 'deepest',\n",
       " 'agusti',\n",
       " 'dey',\n",
       " 'billie',\n",
       " 'abott',\n",
       " 'necromancy',\n",
       " 'cara',\n",
       " 'heavyarms',\n",
       " 'morton',\n",
       " 'digicorp',\n",
       " 'moviefreak',\n",
       " 'moths',\n",
       " 'shawls',\n",
       " 'dartmouth',\n",
       " 'visitors',\n",
       " 'prestige',\n",
       " 'lilli',\n",
       " 'tumbuan',\n",
       " 'mockage',\n",
       " 'aus',\n",
       " 'jarrell',\n",
       " 'hollywoodand',\n",
       " 'vindicates',\n",
       " 'siu',\n",
       " 'honcho',\n",
       " 'huffman',\n",
       " 'larval',\n",
       " 'necessarily',\n",
       " 'amsterdamned',\n",
       " 'scrooged',\n",
       " 'freebird',\n",
       " 'transposes',\n",
       " 'savini',\n",
       " 'stonewalled',\n",
       " 'manji',\n",
       " 'shepperd',\n",
       " 'thumbes',\n",
       " 'togan',\n",
       " 'corvette',\n",
       " 'astor',\n",
       " 'compositional',\n",
       " 'haliburton',\n",
       " 'supplied',\n",
       " 'ninnies',\n",
       " 'heeey',\n",
       " 'yielded',\n",
       " 'niveau',\n",
       " 'milanese',\n",
       " 'pensions',\n",
       " 'tavernier',\n",
       " 'mycenaean',\n",
       " 'roxann',\n",
       " 'musician',\n",
       " 'pray',\n",
       " 'seth',\n",
       " 'hav',\n",
       " 'convite',\n",
       " 'vivisects',\n",
       " 'blackbelts',\n",
       " 'unwaveringly',\n",
       " 'mariangela',\n",
       " 'intensities',\n",
       " 'unemployment',\n",
       " 'enviormentally',\n",
       " 'sorted',\n",
       " 'renea',\n",
       " 'wayland',\n",
       " 'unfaltering',\n",
       " 'nuimage',\n",
       " 'exchanges',\n",
       " 'whirry',\n",
       " 'amplifying',\n",
       " 'nickels',\n",
       " 'mood',\n",
       " 'obtaining',\n",
       " 'reactionsthe',\n",
       " 'lomena',\n",
       " 'afresh',\n",
       " 'nixflix',\n",
       " 'hisaishi',\n",
       " 'urgency',\n",
       " 'heavyweight',\n",
       " 'dousing',\n",
       " 'demilles',\n",
       " 'vanishings',\n",
       " 'quivering',\n",
       " 'poseidon',\n",
       " 'loisaida',\n",
       " 'scuffed',\n",
       " 'scarsely',\n",
       " 'pours',\n",
       " 'warfare',\n",
       " 'cortner',\n",
       " 'melchior',\n",
       " 'bosnians',\n",
       " 'chaperoned',\n",
       " 'director',\n",
       " 'particular',\n",
       " 'anbthony',\n",
       " 'lesbianism',\n",
       " 'nore',\n",
       " 'ports',\n",
       " 'disapprovement',\n",
       " 'verily',\n",
       " 'highly',\n",
       " 'hellbent',\n",
       " 'motta',\n",
       " 'leopold',\n",
       " 'chortles',\n",
       " 'polnareff',\n",
       " 'justification',\n",
       " 'sordid',\n",
       " 'controlness',\n",
       " 'unproblematic',\n",
       " 'synchro',\n",
       " 'entirity',\n",
       " 'infomercial',\n",
       " 'materially',\n",
       " 'marinate',\n",
       " 'paget',\n",
       " 'teaming',\n",
       " 'metropolitan',\n",
       " 'vanties',\n",
       " 'pythonesque',\n",
       " 'dampens',\n",
       " 'beckinsell',\n",
       " 'huntress',\n",
       " 'iaido',\n",
       " 'pyromaniac',\n",
       " 'clory',\n",
       " 'cinmatographe',\n",
       " 'perfomance',\n",
       " 'communicate',\n",
       " 'offsuit',\n",
       " 'abusively',\n",
       " 'truisms',\n",
       " 'twizzlers',\n",
       " 'sheldrake',\n",
       " 'infests',\n",
       " 'lachaise',\n",
       " 'punchbowl',\n",
       " 'oly',\n",
       " 'charcters',\n",
       " 'palatir',\n",
       " 'gunghroo',\n",
       " 'childrens',\n",
       " 'contractually',\n",
       " 'traditionalist',\n",
       " 'repay',\n",
       " 'permission',\n",
       " 'torque',\n",
       " 'yvan',\n",
       " 'quickly',\n",
       " 'instaneously',\n",
       " 'trevino',\n",
       " 'simialr',\n",
       " 'torments',\n",
       " 'woodman',\n",
       " 'edina',\n",
       " 'attract',\n",
       " 'freleng',\n",
       " 'biopic',\n",
       " 'incertitude',\n",
       " 'youtube',\n",
       " 'impression',\n",
       " 'grotty',\n",
       " 'hata',\n",
       " 'pauper',\n",
       " 'zowee',\n",
       " 'beefing',\n",
       " 'pinpoint',\n",
       " 'nekeddo',\n",
       " 'lampoonery',\n",
       " 'gwynyth',\n",
       " 'wexford',\n",
       " 'pollute',\n",
       " 'tweaks',\n",
       " 'takuand',\n",
       " 'academic',\n",
       " 'barres',\n",
       " 'redemeption',\n",
       " 'ala',\n",
       " 'unprincipled',\n",
       " 'unfolded',\n",
       " 'agatha',\n",
       " 'diving',\n",
       " 'shoals',\n",
       " 'teachs',\n",
       " 'hellbut',\n",
       " 'infrastructure',\n",
       " 'doctoress',\n",
       " 'pitaji',\n",
       " 'walmington',\n",
       " 'witnessing',\n",
       " 'characterless',\n",
       " 'croon',\n",
       " 'meltdown',\n",
       " 'fun',\n",
       " 'georgina',\n",
       " 'batter',\n",
       " 'pillage',\n",
       " 'stationed',\n",
       " 'anette',\n",
       " 'amigos',\n",
       " 'dialing',\n",
       " 'tubercular',\n",
       " 'scoobys',\n",
       " 'longinotto',\n",
       " 'w',\n",
       " 'rawal',\n",
       " 'extracts',\n",
       " 'tutu',\n",
       " 'trainyard',\n",
       " 'lefties',\n",
       " 'victorians',\n",
       " 'alcaine',\n",
       " 'swifts',\n",
       " 'weathering',\n",
       " 'freudian',\n",
       " 'resultthey',\n",
       " 'segregation',\n",
       " 'pathetically',\n",
       " 'savage',\n",
       " 'fascistic',\n",
       " 'pyramid',\n",
       " 'neworleans',\n",
       " 'resets',\n",
       " 'businesswoman',\n",
       " 'weened',\n",
       " 'executing',\n",
       " 'alterated',\n",
       " 'writer',\n",
       " 'youe',\n",
       " 'vivienne',\n",
       " 'boyce',\n",
       " 'denting',\n",
       " 'daughterly',\n",
       " 'poas',\n",
       " 'macnicol',\n",
       " 'salvages',\n",
       " 'diffusional',\n",
       " 'playgroud',\n",
       " 'ensues',\n",
       " 'manga',\n",
       " 'tactics',\n",
       " 'electronics',\n",
       " 'disapproves',\n",
       " 'lashings',\n",
       " 'locke',\n",
       " 'unadaptable',\n",
       " 'delorean',\n",
       " 'helin',\n",
       " 'beekeepers',\n",
       " 'minorly',\n",
       " 'cases',\n",
       " 'housemates',\n",
       " 'overshadow',\n",
       " 'probation',\n",
       " 'jarrett',\n",
       " 'spinsterish',\n",
       " 'hellenlotter',\n",
       " 'eyewitness',\n",
       " 'robocop',\n",
       " 'uncompromised',\n",
       " 'ongoingness',\n",
       " 'ailes',\n",
       " 'lira',\n",
       " 'decrees',\n",
       " 'tooling',\n",
       " 'abydos',\n",
       " 'hologram',\n",
       " 'rampant',\n",
       " 'rootlessness',\n",
       " 'oppressively',\n",
       " 'ifpi',\n",
       " 'handouts',\n",
       " 'interested',\n",
       " 'spielmann',\n",
       " 'byran',\n",
       " 'ennui',\n",
       " 'taryn',\n",
       " 'ibsen',\n",
       " 'teeny',\n",
       " 'elmer',\n",
       " 'unaffecting',\n",
       " 'lightner',\n",
       " 'fables',\n",
       " 'maana',\n",
       " 'lasts',\n",
       " 'bathetic',\n",
       " 'rogoz',\n",
       " 'jacobson',\n",
       " 'rene',\n",
       " 'warring',\n",
       " 'julien',\n",
       " 'portal',\n",
       " 'weighting',\n",
       " 'aryaman',\n",
       " 'postscript',\n",
       " 'subtractions',\n",
       " 'reapers',\n",
       " 'carmus',\n",
       " 'ubertallented',\n",
       " 'propagation',\n",
       " 'nook',\n",
       " 'rockwell',\n",
       " 'rents',\n",
       " 'justwell',\n",
       " 'uncreative',\n",
       " 'carney',\n",
       " 'idrissa',\n",
       " 'marbles',\n",
       " 'muni',\n",
       " 'skinflint',\n",
       " 'bulatovic',\n",
       " 'kouzina',\n",
       " 'euphemistic',\n",
       " 'washi',\n",
       " 'undescribably',\n",
       " 'appreciatted',\n",
       " 'spence',\n",
       " 'piloted',\n",
       " 'unremarked',\n",
       " 'prejudicm',\n",
       " 'stove',\n",
       " 'tko',\n",
       " 'nicklodeon',\n",
       " 'boulder',\n",
       " 'outlaws',\n",
       " 'expectations',\n",
       " 'diluting',\n",
       " 'retching',\n",
       " 'psychically',\n",
       " 'according',\n",
       " 'ummmm',\n",
       " 'kneales',\n",
       " 'mope',\n",
       " 'vegan',\n",
       " 'sacchi',\n",
       " 'bayliss',\n",
       " 'artless',\n",
       " 'tans',\n",
       " 'scrimping',\n",
       " 'yorks',\n",
       " 'higherpraise',\n",
       " 'sanjay',\n",
       " 'racketeering',\n",
       " 'entire',\n",
       " 'hypodermic',\n",
       " 'samsung',\n",
       " 'mutilates',\n",
       " 'hellspawn',\n",
       " 'shocky',\n",
       " 'judders',\n",
       " 'rediculous',\n",
       " 'judges',\n",
       " 'wyoming',\n",
       " 'aplogise',\n",
       " 'samways',\n",
       " 'chippendale',\n",
       " 'backyard',\n",
       " 'everest',\n",
       " 'subscribe',\n",
       " 'freakishly',\n",
       " 'contributers',\n",
       " 'augusto',\n",
       " 'nicknamed',\n",
       " 'chillingly',\n",
       " 'looses',\n",
       " 'industrious',\n",
       " 'letty',\n",
       " 'mistreatment',\n",
       " 'googy',\n",
       " 'fishing',\n",
       " 'reigned',\n",
       " 'martha',\n",
       " 'lunge',\n",
       " 'carton',\n",
       " 'verdone',\n",
       " 'beiderbecke',\n",
       " 'wangle',\n",
       " 'adjacent',\n",
       " 'bmw',\n",
       " 'boys',\n",
       " 'jims',\n",
       " 'mew',\n",
       " 'biceps',\n",
       " 'drones',\n",
       " 'chapters',\n",
       " 'penalty',\n",
       " 'hounfor',\n",
       " 'aldonova',\n",
       " 'happening',\n",
       " 'carpets',\n",
       " 'hofeus',\n",
       " 'constained',\n",
       " 'smitrovich',\n",
       " 'worsle',\n",
       " 'imperfect',\n",
       " 'breeches',\n",
       " 'sargent',\n",
       " 'lycanthropy',\n",
       " 'cyrano',\n",
       " 'bibbidy',\n",
       " 'borzage',\n",
       " 'ethnocentric',\n",
       " 'jokingly',\n",
       " 'paccino',\n",
       " 'deathy',\n",
       " 'expel',\n",
       " 'kernel',\n",
       " 'kindlings',\n",
       " 'arthur',\n",
       " 'flashback',\n",
       " 'paperclip',\n",
       " 'vadepied',\n",
       " 'persepolis',\n",
       " 'venturer',\n",
       " 'captured',\n",
       " 'libya',\n",
       " 'suhosky',\n",
       " 'musculature',\n",
       " 'prn',\n",
       " 'lansbury',\n",
       " 'twofold',\n",
       " 'substantial',\n",
       " 'hiroyuki',\n",
       " 'misquoted',\n",
       " 'crashes',\n",
       " 'sandbagger',\n",
       " 'ban',\n",
       " 'eyelashes',\n",
       " 'cancelled',\n",
       " 'shortest',\n",
       " 'roseanna',\n",
       " 'ayat',\n",
       " 'dane',\n",
       " 'theby',\n",
       " 'officious',\n",
       " 'championships',\n",
       " 'coplandesque',\n",
       " 'circumvent',\n",
       " 'scarfs',\n",
       " 'refuting',\n",
       " 'things',\n",
       " 'fi',\n",
       " 'acts',\n",
       " 'stuporous',\n",
       " 'hates',\n",
       " 'saatchi',\n",
       " 'geddis',\n",
       " 'sacraments',\n",
       " 'pullout',\n",
       " 'belles',\n",
       " 'bogged',\n",
       " 'fasted',\n",
       " 'spices',\n",
       " 'mestressat',\n",
       " 'turpin',\n",
       " 'indefatigable',\n",
       " 'psicoanalitical',\n",
       " 'yeah',\n",
       " 'unexciting',\n",
       " 'ticketed',\n",
       " 'fortuitous',\n",
       " 'spanking',\n",
       " 'bedsit',\n",
       " 'henie',\n",
       " 'confessional',\n",
       " 'bondage',\n",
       " 'poetic',\n",
       " 'beliveable',\n",
       " 'mcclug',\n",
       " 'lutte',\n",
       " 'chakraborty',\n",
       " 'gunpoint',\n",
       " 'tarka',\n",
       " 'accusing',\n",
       " 'seeber',\n",
       " 'supplementary',\n",
       " 'versacorps',\n",
       " 'jeffersons',\n",
       " 'repulsed',\n",
       " 'compellingly',\n",
       " 'voight',\n",
       " 'gulab',\n",
       " 'hickville',\n",
       " 'ornaments',\n",
       " 'colonialist',\n",
       " 'lillete',\n",
       " 'deaths',\n",
       " 'swanberg',\n",
       " 'kalser',\n",
       " 'copters',\n",
       " 'hydra',\n",
       " 'ferrio',\n",
       " 'vampyros',\n",
       " 'voodooism',\n",
       " 'weekly',\n",
       " 'jeepers',\n",
       " 'sariana',\n",
       " 'adreno',\n",
       " 'pendant',\n",
       " 'beavis',\n",
       " 'ensweatered',\n",
       " 'knotting',\n",
       " 'crimes',\n",
       " 'magnetic',\n",
       " 'discards',\n",
       " 'prefigures',\n",
       " 'pause',\n",
       " 'raph',\n",
       " 'snchez',\n",
       " 'uxb',\n",
       " 'dawsons',\n",
       " 'frollo',\n",
       " 'minimalist',\n",
       " 'logand',\n",
       " 'institute',\n",
       " 'enlivens',\n",
       " 'anakin',\n",
       " 'treasure',\n",
       " 'paige',\n",
       " 'demy',\n",
       " 'diss',\n",
       " 'lowlife',\n",
       " 'heroics',\n",
       " 'outshone',\n",
       " 'saviors',\n",
       " 'entranced',\n",
       " 'dolphy',\n",
       " 'legit',\n",
       " 'arkadin',\n",
       " 'shefali',\n",
       " 'katyn',\n",
       " 'opting',\n",
       " 'gorgeously',\n",
       " 'abashidze',\n",
       " 'everythings',\n",
       " 'mccaffrey',\n",
       " 'blood',\n",
       " 'ibragimbekov',\n",
       " 'muddles',\n",
       " 'mendoza',\n",
       " 'futurescape',\n",
       " 'antoinette',\n",
       " 'freelancing',\n",
       " 'balloon',\n",
       " 'nominations',\n",
       " 'farris',\n",
       " 'drone',\n",
       " 'vulcans',\n",
       " 'carolinas',\n",
       " 'kevin',\n",
       " 'confusedly',\n",
       " 'zeman',\n",
       " 'biased',\n",
       " 'maintaining',\n",
       " 'cinefest',\n",
       " 'traitorous',\n",
       " 'competitive',\n",
       " 'cliffhanging',\n",
       " 'liszt',\n",
       " 'curitz',\n",
       " 'indelicate',\n",
       " 'darkangel',\n",
       " 'checked',\n",
       " 'kurasowa',\n",
       " 'sorrier',\n",
       " 'drule',\n",
       " 'granting',\n",
       " 'windy',\n",
       " 'finlay',\n",
       " 'thieriot',\n",
       " 'foxworth',\n",
       " 'adds',\n",
       " 'epics',\n",
       " 'freebie',\n",
       " 'sofaer',\n",
       " 'undertaking',\n",
       " 'communicated',\n",
       " 'ackroyd',\n",
       " 'mitchel',\n",
       " 'wreckage',\n",
       " 'vicariously',\n",
       " 'journo',\n",
       " 'bissonnette',\n",
       " 'woooooosaaaaaah',\n",
       " 'competent',\n",
       " 'underline',\n",
       " 'flicker',\n",
       " 'ridgemont',\n",
       " 'gambas',\n",
       " 'lajjo',\n",
       " 'robbed',\n",
       " 'sagacity',\n",
       " 'leaking',\n",
       " 'cariboo',\n",
       " 'bradbury',\n",
       " 'persons',\n",
       " 'finacee',\n",
       " 'boleyn',\n",
       " 'fc',\n",
       " 'unjaded',\n",
       " 'twomarlowe',\n",
       " 'smothering',\n",
       " 'considerable',\n",
       " 'indecent',\n",
       " 'devils',\n",
       " 'grandstand',\n",
       " 'renji',\n",
       " 'dictators',\n",
       " 'deadhead',\n",
       " 'interned',\n",
       " 'breadwinner',\n",
       " 'faaar',\n",
       " 'grce',\n",
       " 'woodgrain',\n",
       " 'laying',\n",
       " 'enigmatically',\n",
       " 'becoems',\n",
       " 'imom',\n",
       " 'unfavorably',\n",
       " 'consistently',\n",
       " 'atheist',\n",
       " 'visit',\n",
       " 'perishable',\n",
       " 'clotheslining',\n",
       " 'nighttime',\n",
       " 'caster',\n",
       " 'satchwell',\n",
       " 'chan',\n",
       " 'ewers',\n",
       " 'conspiracists',\n",
       " 'lusts',\n",
       " 'hitoshi',\n",
       " 'irresistible',\n",
       " 'daneille',\n",
       " 'volcano',\n",
       " 'gregor',\n",
       " 'golfers',\n",
       " 'next',\n",
       " 'exaggerated',\n",
       " 'achero',\n",
       " 'popeil',\n",
       " 'urineing',\n",
       " 'suggesting',\n",
       " 'chojnacki',\n",
       " 'redeemable',\n",
       " 'khandi',\n",
       " 'gigantically',\n",
       " 'wildcats',\n",
       " 'ronny',\n",
       " 'portions',\n",
       " 'addy',\n",
       " 'torrance',\n",
       " 'blaming',\n",
       " 'premee',\n",
       " 'perspiration',\n",
       " 'dickian',\n",
       " 'ploughing',\n",
       " 'teleprompter',\n",
       " 'promting',\n",
       " 'roost',\n",
       " 'waddell',\n",
       " 'rejects',\n",
       " 'roby',\n",
       " 'semitic',\n",
       " 'suknani',\n",
       " 'policeschool',\n",
       " 'freeman',\n",
       " 'societal',\n",
       " 'decline',\n",
       " 'bates',\n",
       " 'balta',\n",
       " 'barbies',\n",
       " 'pumb',\n",
       " 'rumoured',\n",
       " 'timeso',\n",
       " 'toms',\n",
       " 'dodges',\n",
       " 'lazarous',\n",
       " 'were',\n",
       " 'exec',\n",
       " 'digitally',\n",
       " 'phillistines',\n",
       " 'favorable',\n",
       " 'tsai',\n",
       " 'squeel',\n",
       " 'entrapping',\n",
       " 'sated',\n",
       " 'johanson',\n",
       " 'flashbacked',\n",
       " 'penetrating',\n",
       " 'bathhouses',\n",
       " 'neighbours',\n",
       " 'chambers',\n",
       " 'ryuhei',\n",
       " 'tuna',\n",
       " 'aaww',\n",
       " 'miserly',\n",
       " 'catharses',\n",
       " 'bolla',\n",
       " 'reds',\n",
       " 'hoodlums',\n",
       " 'vam',\n",
       " 'thunderstorm',\n",
       " 'bombshell',\n",
       " 'roeper',\n",
       " 'streneously',\n",
       " 'contractual',\n",
       " 'potosi',\n",
       " 'truax',\n",
       " 'namak',\n",
       " 'popularist',\n",
       " 'reconcilable',\n",
       " 'irks',\n",
       " 'cgs',\n",
       " 'halting',\n",
       " 'saintliness',\n",
       " 'vince',\n",
       " 'soiling',\n",
       " 'bleibtreu',\n",
       " 'simmon',\n",
       " 'wyllie',\n",
       " 'alaskan',\n",
       " 'bee',\n",
       " 'codec',\n",
       " 'rackets',\n",
       " 'half',\n",
       " 'haavard',\n",
       " 'corncob',\n",
       " 'evildoers',\n",
       " 'equality',\n",
       " 'ringing',\n",
       " 'share',\n",
       " 'psychodrama',\n",
       " 'hearen',\n",
       " 'repertoire',\n",
       " 'bushes',\n",
       " 'unrivalled',\n",
       " 'mishandle',\n",
       " 'nielson',\n",
       " 'unabashed',\n",
       " 'industrial',\n",
       " ...]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(vocab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.,  0.,  0., ...,  0.,  0.,  0.]])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "layer_0 = np.zeros((1,vocab_size))\n",
    "layer_0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiIAAAFKCAYAAAAg+zSAAAAABGdBTUEAALGPC/xhBQAAACBjSFJN\nAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAB1WlUWHRYTUw6Y29tLmFkb2Jl\nLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1Q\nIENvcmUgNS40LjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5\nOTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91\ndD0iIgogICAgICAgICAgICB4bWxuczp0aWZmPSJodHRwOi8vbnMuYWRvYmUuY29tL3RpZmYvMS4w\nLyI+CiAgICAgICAgIDx0aWZmOkNvbXByZXNzaW9uPjE8L3RpZmY6Q29tcHJlc3Npb24+CiAgICAg\nICAgIDx0aWZmOk9yaWVudGF0aW9uPjE8L3RpZmY6T3JpZW50YXRpb24+CiAgICAgICAgIDx0aWZm\nOlBob3RvbWV0cmljSW50ZXJwcmV0YXRpb24+MjwvdGlmZjpQaG90b21ldHJpY0ludGVycHJldGF0\naW9uPgogICAgICA8L3JkZjpEZXNjcmlwdGlvbj4KICAgPC9yZGY6UkRGPgo8L3g6eG1wbWV0YT4K\nAtiABQAAQABJREFUeAHtnXvQXVV5/1daZxy1BUpJp1MhE5BSSSAgqBAV5BIuGaQJBoEUATEJAiXY\ncMsUTfMDK9MAMXKRAEmAgGkASUiGIgQSsEQgKGDCJV6GYkywfzRWibc/OuO8v/1Zuo7r3e/e5+zr\n2ZfzfWbOe/bZe12e9V373eu7n/WsZ40aCsRIhIAQEAJCQAgIASFQAQJ/UkGdqlIICAEhIASEgBAQ\nAhYBERHdCEJACAgBISAEhEBlCIiIVAa9KhYCQkAICAEhIARERHQPCAEhIASEgBAQApUhICJSGfSq\nWAgIASEgBISAEBAR0T0gBISAEBACQkAIVIaAiEhl0KtiISAEhIAQEAJCQERE94AQEAJCQAgIASFQ\nGQIiIpVBr4qFgBAQAkJACAgBERHdA0JACAgBISAEhEBlCIiIVAa9KhYCQkAICAEhIARERHQPCAEh\nIASEgBAQApUhICJSGfSqWAgIASEgBISAEBAR0T0gBISAEBACQkAIVIaAiEhl0KtiISAEhIAQEAJC\nQERE94AQEAJCQAgIASFQGQIiIpVBr4qFgBAQAkJACAgBERHdA0JACAgBISAEhEBlCIiIVAa9KhYC\nQkAICAEhIARERHQPCAEhIASEgBAQApUhICJSGfSqWAgIASEgBISAEBAR0T0gBISAEBACQkAIVIaA\niEhl0KtiISAEhIAQEAJCQERE94AQEAJCQAgIASFQGQIiIpVBr4qFgBAQAkJACAgBERHdA0JACAgB\nISAEhEBlCIiIVAa9KhYCQkAICAEhIARERHQPCAEhIASEgBAQApUhICJSAPQXX3yxGTVqlPnlL39Z\nQGkqQggIASEgBITA4CAgIjI4fR3Z0iVLlpgHH3ww8ppOCgEhIASEgBAoG4FRQ4GUXYnKry8CJ510\nknnf+95nbrvttvoqKc2EgBAQAkKgtQjIItLarlXDhIAQEAJCQAjUHwERkfr3kTQUAkJACAgBIdBa\nBERECuhanFXHjBkzrKR169ZZB9atW7daHwymQHBodZ8bbrhhWHp+kJbr+G1wHM7Db65FiV9f1HXO\noSO6ItRPXU888YRZvHhxRy853Fp49EcICAEhIAT6hICISMlAz5kzxyxbtszMmDHD4I7D5/HHHzfr\n16+3RCOq+u9973tm/Pjx5oMf/GAnD/kmTZpkLrjgAjN9+vSobKnOXXnllbbsE0880Vx00UWdenbb\nbbdU5SixEBACQkAICIE8CLwjT2bl7Y3Az372M/P0008bf4DHsrHPPvtYsoGFY9asWcMKwkJx5513\njjgPeTjqqKPMxIkTzWGHHWb4LRECQkAICAEh0GQEZBEpufcuvPDCYSTEVTdu3DhLRrZt2+ZOdb4h\nGWFy4i4eeeSR1oJxyy23uFP6FgJCQAgIASHQWAREREruuoMPPrhrDb/4xS9GXD/rrLNGnPNPHHPM\nMWbHjh1m06ZN/mkdCwEhIASEgBBoHAIiIiV3mT8lk7SqPfbYo2vS3Xff3V7ftWtX13S6KASEgBAQ\nAkKg7giIiNS9h7roJyLSBRxdEgJCQAgIgUYgICJSw256++23u2q1fft2ez28ZLhrJl0UAkJACAgB\nIVBDBEREatgp999/f1etnnrqKevoiuNqWOLigOBPgl+JRAgIASEgBIRAnRAQEalTb/xBl5dffjk2\ncBkb1EFU5s2bN0xzlvSyJHjjxo3DzrsfN910kzvUtxAQAkJACAiB2iAgIlKbrvijItdff725/fbb\nbRRU38JBNNQzzzzTLt8NL+/FKXb27NnmqquuGkZi3nrrLRsA7Uc/+pElKn+s5fdHe+65p3nhhRfC\np/VbCAgBISAEhEBfEBAR6QvM6Sph1cxLL71k9t13X3PQQQd1wq8TjZVAZ3E75RLgjOuQGBdKHisJ\nQlC1KMGysnPnzk56QstLhIAQEAJCQAj0C4FRQejwoX5Vpnq6IwAJILR7VFTV7jl1VQgIASEgBIRA\nMxGQRaSZ/SathYAQEAJCQAi0AgERkVZ0oxohBISAEBACQqCZCIiINLPfpLUQEAJCQAgIgVYgICLS\nim5UI4SAEBACQkAINBMBOas2s9+ktRAQAkJACAiBViAgi0grulGNEAJCQAgIASHQTARERJrZb9Ja\nCAgBISAEhEArEBARaUU3qhFCQAgIASEgBJqJgIhIM/tNWgsBISAEhIAQaAUCIiKt6MaRjfjVr35l\nHn744ZEXdEYICAEhIASEQI0Q0KqZGnVG0aq8973vNd/97nfN3/zN3xRdtMoTAkJACAgBIVAIArKI\nFAJjPQuZPn26WbZsWT2Vk1ZCQAgIASEgBAIEZBFp8W3wwx/+0Bx33HHmpz/9aYtbqaYJASEgBIRA\nkxGQRaTJvddD97/7u78zo0ePNhs2bOiRUpeFgBAQAkJACFSDgIhINbj3rdY5c+aYlStX9q0+VSQE\nhIAQEAJCIA0CmppJg1YD0/73f/+3wWn1l7/8pfnzP//zBrZAKgsBISAEhECbEZBFpM29G7SNFTMz\nZswwq1evbnlL1TwhIASEgBBoIgIiIk3stZQ6s3pm0aJFKXMpuRAQAkJACAiB8hEQESkf48prOP74\n483OnTsNq2gkQkAICAEhIATqhICISJ16o0RdLrzwQrNkyZISa1DRQkAICAEhIATSIyBn1fSYNTKH\nYoo0stuktBAQAkKg9QjIItL6Lv59A4kpwkf7zwxIh6uZQkAICIGGICAi0pCOKkLN2bNnmxUrVhRR\nlMoQAkJACAgBIVAIApqaKQTGZhTCjry77babDfmujfCa0WfSUggIASHQdgRkEWl7D3vtI6DZ5Zdf\nbh566CHvrA6FgBAQAkJACFSHgIhIddhXUvPkyZPNXXfdVUndqlQICAEhIASEQBgBEZEwIi3/TUwR\n5Lvf/W7LW6rmCQEhIASEQBMQEBFpQi8VrONnP/tZ88ADDxRcqooTAkJACAgBIZAeATmrpses8Tm0\nEV7ju1ANEAJCQAi0BgERkdZ0ZbqGnH766ebss882p512WrqMSt1KBJiq27p1q3n11VfNtm3bzBtv\nvGG2bNkyoq3Tpk0ze+yxh5kwYYIZP368+fCHP6xdnUegpBNCQAikQUBEJA1aLUpLYLNbbrnFPPXU\nUy1qlZqSBoENGzaYxx57zKxcudKMHj3aTJo0yRx88MFm3Lhxdpk3AfB8wZL205/+1Lz11lvmtdde\nM08//bT9QE5OPfVU88lPflKkxAdMx0JACCRCQEQkEUztS0RMkfe///3WaVUxRdrXv3Etot/vvvvu\nzsqpOXPmmBNOOMFkvQcob/369ebRRx81y5Yts8vDL7vssszlxemt80JACLQXATmrtrdvu7aMmCLT\np0+3g0fXhLrYGgRuvvlmSz6feeYZuwHi5s2bzXnnnZeLNHAfMb23dOlSay0BrPe+973miiuuMFhQ\nJEJACAiBXgiIiPRCqMXXZ82aZVatWtXiFqppIID/x6GHHmrWrFljPwS0+9CHPlQ4OFhVbrzxxg4h\noY7ly5cXXo8KFAJCoF0IiIi0qz9Ttcb5AOArIGknAlhBpk6dapiCwR+oDAISRs4REojPokWLDI7R\nTOFIhIAQEAJRCIiIRKEyQOcYoHBWlLQLAQb+mTNnWgsIBIQpmH4LpGfjxo1m7Nixdkrohz/8Yb9V\nUH1CQAg0AAE5qzagk8pUUTFFykS3mrIhIVOmTDF77rmndUzFj6NqYYrm6quvtlYZZ4mrWifVLwSE\nQD0QkEWkHv1QmRaY0WfMmGFWr15dmQ6quDgEHAk57LDD7OaGdSAhtA6LzK233mqOO+44I8tIcf2t\nkoRAGxAQEWlDL+ZsA6tn5FSYE8QaZPdJCE6jdRNW14iM1K1XpI8QqB4BTc1U3we10IAll/gSyGxe\ni+7IpARLZl9++eXaB6mD9OLEiv9IXSw2mQBXJiEgBApBQBaRQmBsfiEXXnihjS3R/JYMZgsY3HE6\nXrt2be0BYJrmgx/8oDn//PNrr6sUFAJCoHwEZBEpH+NG1MC8PfP3hPBGcGLNGm2zEQ1ukZL0FStU\nWC7bj+W5RUDHNNJRRx1llxVXsaKniDaoDCEgBIpBQBaRYnBsfClMyfBhD5ovfelL1tGx8Y0akAZc\neumlBotWU0gI3cKUzJIlS+xKGkiJpFkIXHzxxeakk04apjTnRo0aZX75y18OO1/kDzZmpI4bbrih\nyGJVVsUIiIhU3AF1qJ43aqJvHnTQQTb2xL/8y7/UQS3pkAAB+u355583//RP/5Qgdb2SQJxwlL7m\nmmvqpZi0qRwBNlaEbJRJaipvpBToIKCpmQ4Ug3vgpmUgJE5uuukmw5u2pN4IELWUnW+bOr3BPYej\nNFOCmgqs973ma4f147/+67/MunXr/NOFHVPuySefbF5//XW7G3RhBaugWiIgi0gtu6W/SjElw4oZ\nSbMQcNaQppIQ0IZ8XH755eYrX/lKs8CXtkJACBSGgIhIYVA2uyDIiIKaNasP77jjDjN37txmKR2h\n7WWXXWZX/MhXJAIcnRICA4CAiMgAdHLSJhJw6p577kmaXOkqRIBBe9myZXZDuQrVKKRqrCIQ4fXr\n1xdSXpMKcc6XOO5yjAMozpjuw2+uRQnX+OBH4RxFx4wZMyLpgw8+aH1xXJl8f+ELX7D1jUj8hxOU\niY+Gnwd/njhdyIYOUfVzLao80ob9QEhHnUzLIOPHj7e/nXOqj5dNEPqDfocffvgwvWkrPidhYfqH\nuigTjMLYuzrD+fS7eARERIrHtNElYubHVC6pNwIM2oTmb4tfBffdo48+Wm/QS9Tue9/7nh10ia8y\nNDTU+UyaNMlccMEFlkjEVf+pT33KXtq1a5fZvn37sGSQAwLdsTTflbtjxw7zi1/8wtYX5ePBoH3s\nscdaYvjAAw908n3mM5+xU7iUmUYY6HGEJ9gePh9Oj3nz5plbbrnF1gUBQXbbbTd7/fHHH7e/Xfor\nr7zS/o77Q36IxO23326thK4O19Z99tkn1p+FjT8h9fw/uXzUz/8YZUr6gEAAvEQIjEDgBz/4wYhz\nOlEfBIKH5lBgvaqPQjk1CZxVh4LHXc5Smpc9GGhtu2n7nXfeGdmAYFWUTXP99dcPu37iiScOBQPs\nULCZ4LDz7gflcT0YjN2pYd/k43pAYIadp9xgr6IR510iVy/fvlx00UW2PP8cZVPWWWed5Z/uHLu2\nhdsQEAHbZvDxxeEVxoryu+ns2upj4eqIyxdXl6+PjotBQBaRPpC9JlaBqVxSXwQee+wxc+SRR9ZX\nwZSaYdnhLRwH3EGUYDA0s2bNimw6/RwM8tZ6EE7AGz/XooR4QLNnzzZ777131GWbj/xYPZxgIXni\niSdsXBqsE1HCcmvyJRHKxhKC9SNKXNvuu+++qMuJzm3atMncf//9XXUGI3RevHjxiDKJwRPV1nHj\nxhksKdu2bRuRRyeKRUBEpFg8VZoQKB0Bt8y6bWSRwZiYKIMowRt912Yfc8wxdiBl0PUFzKKIBj4P\nDLxEr40T8pHfXzH3zDPP2OSTJ0+Oy2YJMPmSCGWTlkE9Tm677bYRU0pxaaPOv/rqq/Z0N51dW92U\nj1/OwQcf7P8cccw0lqRcBEREysVXpQuBwhEg5sbEiRMLL7fqAhkQwj4OVevUr/r32GOPrlXtvvvu\n9jp+IL7stdde/s/OsUvHfeI7nIaPsVb8/Oc/7+Rj0MUKEEVuOomCgwMOOMD/GXv87LPPJk4bW0iP\nC/jXIFFWDT/rEUccYXbu3Omfsse98o3IoBOFIyAiUjikKlAIlIsAVoOxY8eWW0kFpfPWLDN4d+Ad\nweie6o9XAz+HjgNmMJsfeRzlsPrHEnQkBMpHQESkfIxVgxAoHIG4ZZKFV6QC+4LA22+/3bUeZylK\n2u/OgvLaa691LTd88S/+4i/slI5bxRK+7n7/6Ec/coddv0ePHm16pWVVTXgZb9dCQxc/8IEP2DO9\ndH7hhRcM+kjqh4CISP36RBoJgYFE4P3vf79ZtWrVQLYdZ8tugq8FUyZJHZQ/8pGP2OK2bNkSWyzL\ndJmq8ZfjHnLIITZ9N18diANTOkkE3xfSkidOVqxYYR1xs06ROB8PHLjjxOncyxcnLr/Ol4uAiEi5\n+Kp0ISAEEiLAjryDKgzWccHCcDyFqMStPInCDB8PVopcd911Juzg6tK7FSSXXHKJO2XOOOMM61xK\nyP04CwOrcZIKQdAgUHF5IEOsmPnEJz6RtMgR6SBnEAxiiHTTGT0+97nPjcivE9UjICJSfR9IAyEg\nBAYcgSBGiB1IsU74gylTFmeeeaYlFXHLe+Og+7d/+zcTxPqw5MInOQz+EARIShCPY8SKFojB97//\nfUOgNEiQE6wK5MO5NW7JsEvrviFE1A2RIi91O6HsKVOm2OkSdPXFTS3h7JpE2O4Ax12WgPs6u7ZS\nDnpktbok0UFpsiMgIpIdO+UUAkKgQATYBbotkWLTwsKqmZdeesnsu+++NgqpW91CdE/IAktc0wqD\nLo6oWFIeeuihzuoZLAMIMT6iyA1Ow88995whqiskyOlCuHV8SNI6txKdlKXE++23n7WOuPKI+Iol\ng3aHCYKLL0JU2fD0URQOrq3EBCFKqquDtrJ8mPYoSmoUcvU4N4q4aPVQRVoIASHQCwH2mPnqV79q\neGO89NJLeyVv1HWCmS1YsMAOmo1SPIeyWBkY4CEbUaQgR9HKKgQag8A7GqOpFK09AgwkPFgJMMQy\nzDfeeMOEneV44yW2AW+AEyZMsMcf+tCHat+2KhWEfAQh960KvPmxb0cb92XxpySqxFt1CwEh0F8E\nRET6i3fratuwYYPdwh2PdZbGYc7Fix2TLoNmOPonUUEJyMXcLUsL2cb+6aefthtOnXLKKTb/IDst\nuhvE4cRvcPTJGgP2m2++6ZK25puYF0cffXRr2qOGCAEhkAwBTc0kw0mpPAR4Q7/77rutGR3ywe6V\nJ5xwQub5fcpjLpxlfCwbxKntsssuy1yep2qjDn3y8d73vrdr+5kDh5C0ibSdfvrp5uyzzzannXZa\no/otj7KamsmDnvK2BQE5q7alJ/vQDgjDzTffbIj3wJ4Ua9asMZs3bzZs4Z7HyZDBlMEHhzq36RkD\nMc5s1NlmwUGTNrt2Y/ng0wtPVgd85zvfaRU0kFDCcEuEgBAYLARERAarvzO3loGSDbQcAYE0+NMF\nmQsOZWQAvvHGG+30DdEmIT3Lly8PpWr2T0c8+Ka9ScmH32qICCsB2iJggXWtFwFrS3tdO1ihwnqB\ntjmqYt079NBDXTP1LQS6IqCpma7w6CIIEIyIYEHEHcD60U9hgOIh/cEPftAsWrSosVMRtMNJEQQO\nSwp+OFik2iDcYz/72c/MTTfd1IbmDHwb6E/2xeGlQiIEeiEgItILoQG+zrQIAYeQr3/965W9raIH\nfig4aBINMuwAW8cuQme30gX9iiAf4Xbyxrlw4UJz/PHHhy817jdTcY888oh5z3ve04j+bRzAfVaY\ne5MAYmXc931uiqrrAwKamukDyE2swpEQggGtXbu2MhICdviQLF261EZNPO644wzWgDoK5mgsH3w4\ndlMuZT2MP/vZz9oVS3XEIo1ODz/8sCUf3GtMzfjWozTlKG09EHD9V9Z9X49WSosiEZBFpEg0W1KW\nT0LqZlpl0GJvDDYBq4NlJM1Kl6JvD/qJpb0sh26ybwVvz/Pnzx+2WobBTANZ0XdMf8rDyZyAe2n2\nxumPZqqlrgiIiNS1ZyrSq84kxEFSNRnBIuOCb/VaZut0LuMbEkQk0t/85jfWYlRGHWWXSV9ec801\nkb4uIiNlo198+Tw/cDCn75pMjotHRiV2Q0BEpBs6A3ht5syZhtUqrIqps+AMRyA0po36EUvDmZvB\nhAdtP+rshj9kCB34oA9LqZtmQWDQYiVW2Britxvc64C3r5OO4xGAWN5yyy3WYhmfSleEwHAERESG\n4zHQv4gRctddd5mNGzdWPtAm6QgCYBEqHv+RMsQnH3Ua5MODM8ubWVHUlH5zfQWZZAuAXqQX0sXb\nddXkz+mt73gEeJEhQvIgBaWLR0NXkiIgIpIUqZan42HPmycrPerge5EEbmcGvvfeewtZOUJ5Za90\nSdKubmkgIVGkCFJ2yCGHNGZennZMnTo1sQlfZKTbXVGPa0wVMlXZtoi/9UC33VqIiLS7fxO3joGM\nfT6atqMre92ce+65lkBkeWP2yUfU3jiJASw5odMzioRQtVulc+utt9b+bTSrriIjJd9kOYvHModV\nriwLZU71lL3GCIiI1Lhz+qWacxhsmmnf4ZOWRDEQstIEqTP5cO1DX4hIL0uVI2V1WVHk9Pe/aQex\naViqm2VFFmQEwilHSB/VehyztP4LX/hCIdbJerRIWvQLARGRfiFd43qilk/WWN0RqjE48RBkWiXO\nKkKaOqx0GaF8jxOQECTJwEvab33rW+bKK6+szfJmv3mOhOy333653prTYOLXr+PyEHD/g47gl1eT\nSm4jAu9oY6PUpuQIYA1BmuxchqWAHXvZEdifWvLJB/4vvSwKyVHrT0r0T/P2zyDwD//wD+Zd73qX\nJWZ1sow4EgJyONbmEUgZZIRPEoKWpy7lTYbAgw8+aP8Hk6VWKiEQQiDYcKmv8sADDwwFKtjPWWed\n1de6i6jM1592+OLaxXewk6h/qedxYKru4HLnnXf2TF9UgmnTpg2tXr26qOIqKyfYiXYoGJSG+Haf\nwAJSmT55K6YNafQnvS/0KfdhHfo2sFQNBZv0DV1++eW+irmPA+I1RNmS6hHgf099UX0/NFUDhXgP\nntaDKrxRrlq1ykyaNKkVELBPCdMvOHTyiZumqXtj3cqYpPrTj6xW8AULV0BObBRaIl1ikahCsLgx\nbcYKmSw+Id10xhrCB8uRpDoE8E1i5+SmWRyrQ0w1hxEQEQkjMkC/n3zySTNjxozGDth+V0E8cJR7\n7LHH/NONOoYsOBKSRnGmZBiQwwImlLdt2zYbOIzjfgnkiJgShOMn2Jo/ZVakDm7qSmSkSFTTlcX/\nHJtSSoRAVgRERFIid8YZZzAf0/mkzF6r5Ox2SvChtsiRRx7Z2E3gGLj5QB7SSC/iAkEhYBgDBVYJ\nVhiVSUggUwTGox0Em8OBOG2b0rSftCIjaRErLj39zQ7QJ5xwQnGFqqSBQ6AWRITtokeNGtX58Gb7\n1ltvxXbGpk2b7Nuvn2fMmDF222m3MiKc2U9Lfj4nnXSSrZP6kSRpcMry04Xr8X+vW7euUwd5qI9z\nWSSqzThook9WYVrmiCOOyJo9dz6HI+0oQpxpuGlvxxAQxOmfFAvyhadk4vKed955lhQQK8YREkzq\nRQmYMwWEU/AzzzxjV+0wFZN0eimvHo6MlEmy8urYxvzr1683gZ9ZpEWuje1Vm0pCoN/OLb6zJ86q\nfIKmjfjss88+Qzt27Bih3vXXXz8irZ+ffK+//vqIfH6acBnOOTRJGl9/0vvi57/66qtj9XT1+Xm7\nOauS3i87fExdaQXHsiASZ9pshaZ37TjxxBMLKzeYaqqFg2bSBtEPOF1mkbCDatIycIK95557bP8H\nFhPrRBoMKKn1oP5rr712WDlZ25JU9yTpsuKSpGylGY5AW5zdh7dKv/qNQKXLd++///5gLIqWgITY\neAgrV67sJMBycdVVV3V+Rx2Q7+STTzavvfaaDVYVlaZXGeRJkiaqbHfuuuuuc4cjvi+44AJz8MEH\nG6YSegkWFNJ3E+oaO3asmTVrVrdkw65t3brV7L///sPOVfXjiSeeKKzqCRMmGO6BJghv71k3dOs1\nJdOt/VgPsJDwwZLBPbZ48WLruEyYeO4L7iesjGHB2vHzn//cbjgYrIQxfDDNH3/88eGklf12vjFl\nTwlV1sCaVIxFDqsqy+YlQiAPApVPzQRvwyawYFifi127dhl+O/GJClMubJLlhMiMwRLZjq9GYBVw\nl+xAdMcdd3R+Rx2QPmB99hM3gCdJE1W2OxdYMjp1BJYUd9p+sz9KEvHb5WPFYBtYkzpFgE3ctFQn\nkXdAfsz0dRGmnoqQ8ePH26mBIsoqswxHJLJMXaSZkunVBqaDcCTFj4T/B+7TuXPnRpIQyrrooovM\nggULbFrilMybN69WJMS115GRqlYLOT3a/M09EyzJ7tv0W5uxHPi29dsEE57aCAbEYSoQfyPolM4n\nICf2ejhfVJwOf5qHKRpf/DJJFyVJ0oT18Mvx8wcEwr9kj8NTLK5tXIyammGKyS8zjBX5aadLg25J\n5aabbhriU6U4vflmesbHI6temOUxF9dVmBbJO3WQN39dsSlDL6a+wFxSPAJM7TKlJxECeRGo1CKC\nVWPvvfcOxqE/Svi3e8tnu3AnweAbOa3xmc98xiWxVhGmH6KEuAa9JEmabmWceuqpIy5/9KMfHXau\nm0MuCZlecoI1JIwN+6Scc845Lon5yU9+0jnudYCJHetBXsHR1Dmdpv3262Z6BjM/02+9cPHzNekY\nSwafPFMGzpLSpHZXqSsWHzCXZaTYXnAO4XWakiu2hSqtnwhUSkQOOOCAxG198803O2nDA7q7sPvu\nu7tD++1IzLCTwY9wuvB1fidJE5XPnQuTBs5DHHyJ08+lCSwE7tAwUEcN9L4vyttvv91Jn+QgrE+S\nPGWmefnll60/TJNjgcThw2CIpF0Z45dHGUlXyfj5Bv1YZKT4O4AXBlbLSIRAEQhUSkSKaIDKEAJ1\nR8C9PUYFHUuje1zgsjRlDGpaR0YcIRxUHIpqN4sIiKkkEQJFINAYIsKOnU6effZZdzjs27cgcKHK\nN34ccMMStoBEWU38PL5VBsfUYB6u6+fLX/6yn73rMasi4qauumbUxVQIMJUCAclLQjQlkwr2yMTO\nGiUyEglP4pPEnwFLh2fijEooBGIQqHT5boxOkadZVuiEFR+ssggvfw1iI7gkBj+ScePGdX73+wAf\nDAKY+eITKPTrRUQOOuigTnbyQmSKIlcszQwTt05lKQ5YNfH5z38+RY7eSXvh0ruEeqQoijz0Y0qG\nOl544QXrW8W9i7hluhxDpCZOnMih4X+R+4f/v6YNRrSDtvLJSw4tGAP4B2sIS78lQqAoBBpDRIgN\nwuANCUH+8R//0Xzta1/rkBGisfrLfX0nzqLASlNOOLYHEVD9eCBJ9INI4dCL7wTt/tSnPmW3UHcE\nizKJZukwCVbNpDKXFkFEnC5psCkzLVYerD1VCo6RRYY2Z0omj4NrHBZMGXEPEQti586dlmiwpPvs\ns8/ukGRXLwM3eiAsm9+4caO9F8k3efJku1UAG+01QRwZof1NI1JV48u9vWzZMhMEsqtaFdXfJgTy\nLrtJm99f/hq1jDYYVDvLUQOch0VXDS9/5XrUJyAsI5aC+unilrkmSePrT3pf/Py9jmmnL1HLd7ke\nri+uXPKnkbovc03TFj8tkT6rXJZMZFGWjBYlZSzVXb16dScaKnjlqYP2EqU1WPE0FAzwFnvONUEC\nC2OhfdWENufVkb4merFECBSJQGN8RIIB2EYO9QN8cS4sWE0ef/zxwqYwwuUn/R2EkY9NSqCzpNMP\nOISRvptgNVm7dm23JCOusfqCN+G2Ccu83RRCv9uG1QAp6i2b8opcJfPwww+bQw891FxzzTVm/vz5\n1sLB1JqzemTBC+sCZnqCm7HL7vbt263ObHxX9yWzbn8a50ycpf2Dlmf58uWt2ihz0Pqvru1tFBEB\nRBwyIRphQgIBYcAm9kYdpguIrxFYM+zUiut8YoGge1wkV5cu/E16nF/D5AYCQptfeumlxMTGlc0A\nwlx/mx7CDHyQK8Km91scjuBalDAVUkR56Mauu46AbN682ZQxjQKhYaM79MbPhH4ocmO9onD1yxEZ\n8dHofgwx5l4q497pXrOuth2BUZhX2t5ItS8aAfxLcDokxHcbhEEPosrbeT8Fp9Sse8bE6VmUoytv\nsJB2wraff/75fQ3HTX+ce+651odk0aJFfa07Dte480X79cTV0+TzbCOBXxlkUyIEikSgcRaRIhs/\n6GXhZIg5vQ3CoLdixYq+e/M7wpBlz5g43IuakoFoQkLoY8hmkTrG6e6fJ+omTrsE2psyZUqtrW9g\ng0WH/pREI4C18cwzz4y+qLNCIAcCIiI5wGt6VgYKTK1uWqHJ7fnwhz9sp71Gjx5tBxMGlDIHFd6g\nHQkpGre8UzLoxhYFrLYqcvVOlnYywLM5GtOI6FT3e01kJLqX3f9SHn+i6JJ1VggYo6mZAb8L2mJu\nZQrikUcesYOe36XuAerOFTGFgsWCwb4op1SnG995yQ16YX1AcGDutxXEVhzzB2fZSy65xE6dlYFd\nTLWZTufth0yV1jgT1jUCLOLcLBECRSMgIlI0og0rz00D5H0Lr7rZrAZZuHBhzy3peSP3I9yyKiWN\nQyh4IWnyJMWmiLJxSiUQWd1IiMOgaWSkCOLq2t7Ub8gtOEDOyrjvm4qL9C4OARGR4rBsbEm87SBN\ndULDGoIzJKtB0gqDPyTMCZFr497WITFYGMp6GOd9C8e69fTTT9eWhDiMm6In+tLn9HedLEsOx359\nQx5vueWWvjuB96t9qqd6BEREqu+DyjVwVhH8CeIG4cqVjFHAva3hkFnE/DXlgYMvzm+gzLfjvCTE\nrVBpylsrlps99tjDLF261Ie6lseDTkZmzpzZqMi5tbyJpFRXBEREusIzOBcJQMVg3u+lr3kR5iGJ\nlDmgYXHxY9MUQXj8duedknFk7N577+05NeXXW+Vx03Qu2xpWZV90q9u9pDCdOchWoW4Y6Vp+BERE\n8mPYmhJY1TB16tTGxBUp2wrgrCNh4oHVwZe8lpK81pB+kDG/vUUdu/7DAtWEQS4vYSwKt36WAwln\nX6EyiX4/26O66omAiEg9+6USrXjrg4w04c26bF0ZdCAiSaaq0CWrA2xeEkJ+yGNTBvPwjc0UDRF+\nm7IaY9DICM8DNhRlqb9ECJSFgIhIWcg2tNwmrGqAILBENdhorZQBLO9gQ/4kDrB56+EWYyBnx9ym\nRscFA1YuNWnVVhH91oTHgyP7/r3cBL2lY/MQEBFpXp+VrjHmWCJy4i+SxCJQukJeBZCQE044wXzs\nYx8rZZUPD9+iV8a4KR6vGZ0onuFpHz9Nr+OmW0Nc+5oYowIyktRi5trZtO+2xBhqGu6DqK+IyCD2\neoI2MzisXLmyVmTEWUIOOuggc8455xSySsaHgoE9r7+HX16347ADbJZ66aM27BXU1Ddv7kcISd3I\nerf7Ls01LFV1fBlJ0walbQYCIiLN6KdKtHTTNHXwGWGwYp+LSZMmdSwhRRIHyspjnUjTQVGmfdqX\nxs+EQZCYJ02a0uiGEb4Is2fPbtzOrm0lIzgSX3755Zli83TrZ10TAlEI/On/CyTqgs4JgQMPPNDs\nt99+ZtasWea3v/2t+fjHP14JKFgP2MX1i1/8ornqqqs6OvDGtm3bNvN///d/mVddMJC88sorfSMh\nKI9jKRYQX/baay/rK0Gb+KAX6SAtfH79618b0jj55je/af7nf/7Hhkx355r+vX79evP3f//3jWrG\nO9/5TsOHe4h+a4vcdttt1g+LiMUSIVA2ArKIlI1wC8rnbf2iiy6yLVmwYEHfBm0GYJww33jjDbNk\nyZLYeknHwJ3WRJ41X54uzWp5ccTE1X3TTTdZX5nzzjvPnWr0N32BRarJjpFZ+7ZuHce91iZrW93w\nlT4jEdDuuyMx0ZkQAgzwzBWzTJQPvgkMHGUJD0Ic5XjDZGkncQy6TZsQgpsPA0FScfqnJS9Jy49K\nR51Z35pxoAUD93nttdfMe97zntrvZhuFQ9Q5+s/tnBx1vQnn6Js092Dd2sT/HYJlatq0aaVtZVC3\ndkuf6hEQEam+DxqjAdYJpgsQBlQCaTGXXJRgeYHk8Da2a9cu+3ZMfIkkwa7cQM1A4B6ocXpRD8Lg\n108pyp8DQrNlyxa7dLefRKpsrPD/2bp1a9nVlFp+k8nInDlz7P/zihUrzNlnn10qTipcCPgIiIj4\naOi4JwIM+GyOh2PlhAkTrEMb88gQCEhJLxIQrgDigPWDMnBYZKvxZ555xsyfPz8TUWAgYKB2Fo+o\n+pwFJXytzN+0E92KEAgNb6xtE1YAvfrqq41vliMjaf8Xqm7422+/bZ3BV61aZadD2fYh7v+oal1V\nf7sQeEe7mqPW9AsBCAkWEj5YGB588EGzePFi+yBjOmX//fe30yoQi7BANNiqnp1iCUrGZ+HChcOi\nN+YZuLES8ABFL99ikKfMcBvS/EaXrFMyUfVgNRg7dmzUpUafmzhxoiWhjW7EH5SHjHD/QXqTWPTq\n1macwlk102+rYd1wkD79QUBEpD84t7oWBns/RDcPYCwmzz//fGS7cXxl+qWbhcC9VXZLE1n4H07y\nAOWNFPLBChWmlLKW1a2eJNewYBRZN9NWWA8k9UaA/4umkhFeDrB8SoRAPxAQEekHygNWh7NC5B18\nsSJgTcj6VsabKGWsW7fOnHTSSZX0QlVWmEoam7NSCCPTAm0SR0a4F7Pex/3GAxKydu3afler+gYY\nAfmIDHDn173pzqqRda7dzW+zHwvHWcvJilPRUzJZ9WhKviZOYSTB1hFzdz8myVNVGv7nmGJta19U\nhavq7Y6AiEh3fHS1YgR4iLuVOmlUwSSOuLdQymEg6OdgUNQqmTTtVtp6IuDuw37ef1mQWLNmzTC/\nqixlKI8QSIuAiEhaxJS+7whgsnfEIknlTIfw4HcPf5fHvZmmKcvlTfutKZm0iJlc03Dpa+t/Dnc/\n1pWMfPnLXy7Ul6n/CKvGpiIgItLUnhsgvTET80nyAHcEIM607AgK6coS9CxylUxZetatXCxIrJxp\nszgy0g8ynBZHR9TT5lN6IZAXATmr5kVQ+TsIMAC/8MILZseOHZ1lmG6ZLoncsl53zMqPI488MpEp\nmAe4s3R0KvQO8P9IujIGkoIjLeVhbYkjLV7xqQ6LXiUTrnyfffYxjz76aPh043/7m/41vjFdGsC9\nzP0KGSli8Of/7vvf/755/fXX7Z43xAPx/++ozxE8/gf5vxs3bpysH136SJf6i4D2mukv3q2rjYcp\nMURY7bBz5077wDv66KPN+PHj7RJdGuxWz5CWwYaPe2i++OKLNt/06dPN5MmTh8USiQLLWTz8azyI\nebBneaijE0TEvan65WY5jtIvSznd8lDH3Llzbdj9bumado0AWgixaQZBuGe5d7Pet+7/jii7BLjj\n/w6Suvfee1v4wv93nGRJ/fbt220Yd/5f+Z875ZRTbPyfogn5IPSh2lgMAiIixeA4UKXwAGU/imuu\nuca2m4fgGWeckemBSgGQgU2bNplFixZZUsIge/7550daKsIPbx7kSB4ikYfI2Mr/8KcIXfzy4o7B\ngDgsELqsA1lc2VWeZ8sABlJ2e87Tn1W2IW3d9GVSSx5lP/zww+aWW26x/zNJyXucTtw7Tz75pGF3\na/4HL7zwQjNjxoyBwT4OF52vAIEhiRBIgcDq1auHgkFiKCAfQxwXLd/5znds2dQR7DA7FAy2I6oI\nHtz2PN/BNMiI61lOUA9155G8+ZPUTR18Dj/88KFvfOMbSbI0Jg197vrUtbMfmNYBoF7tDIj/UDCt\nYj9l/N+BexBJdSgYgux31P9dHXCSDu1EwLSzWWpV0QjwoAoCHdkHYa+HZhF1Uwdkh4cvD+Gw3HPP\nPZEkJZwu7W/qzfIQLgsTyvU/rj3XXnvtEJ+2CPcXfR0lfvuLIp5R9VR9Luoeor38H0DSyiAg4TZT\nX2AVsfXxPyYRAv1AQESkHyg3vA4eSLwpYaHotzgLDIOuIwg8sDlm8CpDKDfNgEfaNOm76Uzd/sAb\nl9a9Icddb9p5+pc38l4Czknw6VVOXa/7ZCTq3u+X3ugBMYSUuP+7ftWtegYPAfmIVDAd1pQqmb/G\nDwR/kAceeCCzD0je9jKX/elPf9r87ne/M8GAZT7+8Y/bIsv0yaBs2p/EkTCPgyr1BINrB6I0q3hY\nIkwAKueU2CmkgQfsvrxkyZLUbQF7J+ARWA7cz8Z+06b77rvPOoBX2b/c/3PmzDE4lFf5/9/YjpTi\niREQEUkM1WAl5CE0ZcoU22j2najao54B+4tf/KLdN+app57qEIQ8JKBXj4JBYKHoOjimrd+V6erO\nM3h+6UtfMmyA1/TNyXDAhPBu3rzZwZLp2yd1OPMmIZGZKio50xVXXGG+/e1vm3vvvdcccMABJdfW\nu3hWMy1YsMCu0moqpr1bqRRVIiAiUiX6Na3bkZDDDjusNoMcOkGGeEivXLly2EMxLRlICzvlR1kq\nGPiQXm/h5HdS5ABJ/RAZLCq9dHD11/GbvYDOPvtsc9pppxWmXpjwRfVfYZUVWBD398svv2w3naMN\ndelXyOIll1wy7P+uwGarqAFHQERkwG+AcPPrSELCOjoygrUCcoLODMplvq1FxRuJI0A+8UD3MqdO\nwAJpqlUErKZOnWotT2Va3ei/wNfBYlUkGbQFFvTHJyFlYpFVXZGRrMgpXy8ERER6ITRg1+v+MHTd\n4fRkmgZhoOHtscwHOGQH0gPh8UmIP8ihS5nEg/J9QSfq86er/Ot1P8Y3ZP78+YVaQ3q1mT6ExDqp\ng7WE6Y+77rrLbNy4sdR72LU56zcxR4j3U3c9s7ZP+apBQESkGtxrWSsPmauvvrr0t9OiGn/ccceZ\nYEmxmTdvni3SJwdF1REuh0EMB8K//Mu/NKNHj7aXqx7IGMTQyZGysM51/V0XvX0iWYW1xFmFmkIm\nCTxHGPmHHnqorreW9GoYAiIiDeuwstR1b9ZVeumnbVuUzmWQkfAbNKGxISFVExAfL0gZUxxNCY/O\n4A9+WCbKnFLzMUpyHO7rsvuY+qjjuuuuM+edd14SFStPg85HHXWUXVHTFJ0rB00KdEVARKQrPINz\nEYfBIG5Ax7rQlJaHTcWQEySvkx+Exon/luwTnX5MBzkden2jC2QEsznh9ussTRrIfGtJnhVOcf3B\nyif2immadcFZcfjO+78Wh43ODw4CIiKD09exLXUPFef8GZuwphcgUWz45awBPllIqrI/4JAnys8j\niuSQD7+UOjyMb731VvOv//qv5j//8z9rZWXw+wASwrLwOq3I8vXrdkz/+zFfou6RbvnD1yivyaue\nmu4oHe4P/a4QgcGL4aYWhxEggmI/wkeH6y3qN1EgAyIwLAKkH6Eyqp6AdA2L0JkkemRcmUT7pLwq\nBd1oA1FwwaJqfeKwIHoqWwUkwTuujLqcB3P34R5IK2BRRbTitHrGpafNwdCVO6pwsCOwLYey7rzz\nzrjqBup8EECugwm49FvoB+rlE+yUXnr1/W9h6U0qpoLgja3TEeF/jm7Xiqm9f6W0JVQ4+3H4D3UG\nOn8w5qHpBg03aKdBmTzdhPp6pemWP+u1qHoZ4OpGRtCTcOFtISHh/grfX+Hr4d9uEAeXJgv3Gp88\n4p6nfA+SuIGeb4iHL1UTEXRx/XLiiSf6qpVy/CcBCJIGIzBq1CjjPg8++GDqlhAcjDDOTZe5c+fa\n5Y9+O1599VU7TcFUDYIp3X3SLPN1JnS/7PAx5VE2dTH90A9BLz7hKQJiiuD8iM/Ihg0b+qFK1zrc\ndMybb75pA3Wlwb5rwTW6yNScu7fcfcC9wIc+CstXvvIVEwzgtV6qG9Y56vdll11mFi5cmPmeJ6w/\nAdwQ/ocl9UHA9ccTTzxhsowtqVpSCr1pQaGODQZgjjAXdrvW76ajn/uEWXUvXdryVuba+bd/+7dD\nX/va16xlwllDirBSpC2DusG2TElSh9s0zbcUlalTVNlgh3Um71tzVNlNOedbS9x9WTeLVR4ssUZm\nmdoNticY2meffezzi+9BE/fc5jvts7sfWIX7h99liSwiwV0wqPLkk0+awFze+Lcy+o83T1aL8NbN\nG6lbEureTrP2MeVSRhpxdePIWoagE2/gfLoJIdOJTcGSbKwjZekTpQNWEFaEsKQYJ9qmRn6Nalva\nc/QT9xAfjm+77Tbjr8RKW17d0hOef8WKFanVCgZfs2PHDptv9uzZw/LzBu4svV/4whfstRtuuKFz\njmsXX3yx2bp167B8/g+sLYcffviwPJx76623/GTDjimPcl3dY8aMsdYA8rhzfIfL4HdYP9JxLqzj\n9OnTbVl+xWeeeaY95ywPfvspBwmm8YbpgJ5hCadZt27dsCSbNm0y4Om3BX1cvX5i7tFzzjnHnqKf\nHn/8cf9yscdFMhx8KXxrQaCptSYEjRhWTRA0q/MWDxMOX/fL4DgsMDPfmYZ64ury8ybVjzy+Dml9\nRHC+8tuIbmeddVYs6/XrAgvyMy/n2gVGYR0oz10Pfydl18zZZ3mT8TGt0zFvmzjehoU30iwWiqz5\nXP3M/6e1pri8Ud95ysMqEgyC1jKRBYsofaLOoaOri/urzLqi6m/CuWAH6SE+bRH6nGcQ32nEf+7x\nzPOFZ5h7rvEs9Z+H7rz7DuflGdotPc/TKAdMynFlhr+vv/76Ydf8MYuywunDv/3nd5Jnt99+ynJy\n0UUXdeqKsiJRj6ub674Vw7/m0vjf4ByWgHx0yivTV+SPLQxrkOJ32o4nPSA5EHwAwh0QvsnodD+v\nK8P/DudJqx9N9/9J/Juo17UsnR2uy2+Lf8wN7CTJzezSxn1TdtEDBVjTh/QpOkb1Fee4RhrSkqco\nYbCNahMkJe2DsigSQTlp6w7jQZucWT98LelvymCKhH7nO295fr2U7QgIpvqisPPraMsxDrtF41P1\n/x1twvE9qYQH73C+8DjgPwfDx+EBshsJcXl5BvmDNMdRzyqXPvztP7P853c4nf/b1Zfk2R1uv8Mn\nfD5MqHyiwrETn1D4OoWPw2MdOvtpwvW58vN+F0JEsnR8eMB2Het3qg8kDU16s1CGL1n08/UId07c\ntayd7Zfnd3rUMXUgSW5mH4PwcZz1IJwu6W/6z/8niNK92znyunsgaZ1R6brNV6d5+KdJG6VH+Bx4\nRxGkcLqo33nyRpWHHryRQ9qwIHGcpb3oxXJhLB/0Ld9ZyonSsc3nwKooqcv/HfdQGl8k//kfJhJg\nEx5wSeMGQcaB8PPPDfLhfP6zu9s1Xx/6x88XtoZw3T2rwlYUP1/4mnt2u76nHPdBN1/CurprYWLg\n10can0z59fljjI8l7fCxDBM0yvTzhuvjehGS+z8iDJivaLdrKO830L0du44BENfZrqGU7a7z7dcV\nvllcJ3TTods1Xze/nrDe/jU/T5rO9vOF20U7/DbTTl/8a7QnqfD2wqBdhKCj/w/g65TmmDJcv2XV\ni4dh3AMRqwSDZy9hoM5KGrqVTZlJ6vfLIH1ea4pfXviY+4BBBEJCX/FmC6FwOIa/Sct9A4nhQ1qm\n98rUMaxzk39D1MC4CKnT/x33APdCUvFfWsIvnJQRfjaHx4KwRcVd98v1Le1OL38M4bnrhOe1e1ZF\n5eOcu863q88vj+dXWPxne/j57JcXvhZuv1+u30YfOx8TdHHkzD/v6+7KJJ3//A7r4hOVKGxcOXm+\nczurfutb3wra9nsJlDSzZs1yP63zYNBRnd+3335755iDYIVD5zfLDRcsWND5zUZme++9d+c3B34Y\n5HBdV155pY3W6DK88sor9jCPfq6sJN84JLllaKRftmyZGTdunM1KO+644w4TdLb9HdzEsY4/4Xad\ndNJJJrjZbD7+sNlUERLcnDYaad6ycNKiz2lTXqEMygo7gqUpF4yfeeaZyCxu2Wiv5bUBYejpCBpZ\nQY+TwcBty8XZNIk4p1Snd5I8adMcf/zxNqz/5s2brTMc/4PsIxInu+++u11miW7gtHTpUrtzbpk6\nxunSxPMBYTN77rlnbtXr9n/HMy7Ns+mFF17oYLDvvvt2jqMOgsF8xFjgnq3h9H65RFsOy+TJkzun\neF7TH3xYouokKl/UOdLzvAoGYPvZvn27LQKHUJxicSb1xwRXft7vY445plPEf/zHf3SOn3322c7x\nJz7xCesQzYnXXnutcz4gXCOw9J1SSfiTn/ykk56D/fbbr/P7xRdf7BwXefCOvIVl6Xgajhx55JF2\nt1dICOI6jRvPJzT2YvDHv1mCNzh3uvP90ksvdY7dQR79XBlJvpN2tmtruLNdHVHt+sAHPuAu1+6b\nOCRhEkL/BSza7LHHHubggw+O1JkYHzy4gjfyYf1KWZQJscwiYfIaLoMVLQyicSthul0Ll5XlNwM2\ndVNP3IZqEKXAEhKrY5Z6k+RxusVhk6QMpemOQFEvAHX7vyNU/apVq7o33rvKxpFOeE50kwMOOKDb\n5WHX3BjCyZNPPnnYtagfkJCwjB8/Pnyq8xI54kJwgjICK4K54IILoi4Xfs5vF89LXoIhZt/73vc6\ndbGNgpPA4uEO7bPWrcLpnAwddCOUP/vZz0Kpi/mZm4hk6XhHRGgCb/v33XffsMHMt5S4ZobfkllW\nlUTy6pekDtIU1dlJ25VUr7h0WA1YdpdXIBK+8A+ZZNM1SCgC4eANYuLEiZ1iKDMrEekU0uXAEYHw\ngJskcFmXYlNdou6ofWrQASIS1i1V4UrcegTq9n+HtS+NhF9e0uStU1pISDDV1nmJdrph2R47dqxh\nFsAfg9z1PN+Mn7zo3X///bYYLCG8gC1evNj+xirsP0/z1NWvvH/Sr4ri6qEjwzclb8uS8hHoZT1I\nooFvpeKfLwkJCZfrLGPuvF+mO1f0N29w4YiXZU3JxOkejjfi4ny483H5dF4I+P8jTfq/cz2H1bQM\n8csNnEU70yZu+iT8HfUMxGoVlvAY5a7z4uWIBnWTjjq+/OUvR1r1Xb6838QFcoIlhLY68adlOMd0\nqhMITBiD8G9077fkJiJ5O56gR2HhXNgC4ltRSO/m48J5w7/z6hcuL+53Ezo7TveizvMGkFXy5M1S\nJ29wWB6cv0jZUzJxOjq/keXLl1v/kbRvlnHl6vzgIJDnfydP3jwI77XXXp3s3aYCOokSHhxxxBGd\nlElfaCEjzn+PzFE+ZlHnSEvAQCcXXnjhMP8LXrIdSXFpivomAJoTLCG+fv60DGkOOuggl9RgPUGv\nrJJmmixNHbmJSJaOdwoSzc2Zl7gRcKRBYJXOzOTSQkT8myXKx4JpDRcxDmchJI9+ru4k30V2dpL6\n8qZhXjYc8S9vmf4/Zdqy8uRNW5dLj+UBX4x+Tsm4ut238wc577zzrC6OGLnr+hYCvRDI87+TJ28v\nvbpdf9/73te5/OMf/7hznPfAd+TEZ8ONA5TLy60fNZWoq05cBFF+48fn5+PY+fa59FHfLKZwgzzT\nzZ/61KeikkWe86f2IxOETrrpGXfa6Rc1LYP/iHshZ2xFL//Zzzjsj53hKKtEq3biynG/C/sOzDK5\nhKU+gTKdj7+cNWj0sNgSQSM6dYWXDJEvvO6a374EJshOPdTpL/UML99lyRKSVT90de3y20SZcdf8\n8/7yXadHcJN0ykQvJ36+cJtJQ/1OFzDwxZ3nO6ynny587JZlhs+n/e0v7UIH+oG+TSqk9dtHGZSZ\nVVgemWZZcvDgGPrGN76Rtbpc+aKW87Jcl/P9FnAAO+4Lt0QXHMMfAqGRJvBRqETPfuNSdH0O37zl\n1u3/jvs2sOYlbpb/P8+zMiz+czvueeA/+xhrnPjPUz9N+Nh/BpM/fL3bb1dfeNzplsevD12j0ro0\nfvtJFyU+hq4sfzmvnydcnksf/ga7sPjjlj/mhtPl+R3dwpQlZul4n1TQUDd4+f9gYVCS3izhzsii\nn58nPMDHXcva2X55eYiIu6nczdytG4t6IEb9M6AHDxf6kutRH66Rxunsf4fx7taO8DUCbKXZYI3B\nl4G/34N/N8LRL32oB7yIawH+fDuiAS5RH9Jz70BQyJMnIFq47wbhN5imIcpxmNTt/y5tu8LPcvf8\nd+31n6VpiQhlxz1b3HMm6hnj1+nSue8w4XBEhG9/oHbp+WaMYyxy5yjDlygd3bM7rIufzx2DmSvb\nfXcjCnH3jMvLOOTaFVdHuJ9curzfhRCRtB2PtcI1nm//puh2jVopbAYAACaLSURBVMaGO8gvh2M6\nNwxWWv2oxycHvn69rmXpbL+utESk282MrnGS9sERVw5YR+kQ7pekv6P6L67uqPNpIjz6Az549Euo\nCwtEN0E3yEoZgjXDEQmIB7976ROnB21xAdEgJRCVrGXF1dGm8/QpOOWVuv3fpX0BoP3+cyM8gPrP\n+bRExGHLs9ivg2cQ5CDqGevycI363POKZzO6cN6d49sfYxizfMLh8lBmHIHhWjgf5VIX4ref83Hi\nt89/oY9LT51hndA3PMa5/PSLa3dcP7i0eb7jW5ih1KQd74MHCGEJW0vCLA0w/TQA1Q1MV35S/UhP\nea4Dwp3U7Rp503a2X17UPwn1O11oty/dbmY/XfiYgS6NKTWc3/+NDn6fOl3TflMGZeURBlgG1iQS\nJh/h30nKSJPGTX8kzZM2fa9yaR+DYFmEwREc7iusJpJoBPi/KIKs1en/DkILGUkj/mAbfq6lKacf\naf1nMAP+oIhPsBxJKqPthRKRMhRUmeUhwIBU5Fs3/6w+qUpKRMgTJntZW530IR9FOnwLSdb64/Ll\nsXCga56Bi7oJvw1BSDtYxLWn23n0hRByf0Xh3C3vIFxLQ5aT4FGH/7ssfY1VwU1rJHmbT4JF1jT+\nixTPI//ll5dDpyfPF9IOgtA/7hkOJmXKKAoPKpMMIAJXXHGFjXzKio0iBe/05557zgZ5Y437L37x\ni2HF/8Vf/IUhWixLnj/ykY8MW/I2LGHKHxs2bLDr93utBHDxQ4KBeUQNxPLgfJEhy6MCl42ouMeJ\nrGWAybnnnmumT59u5s+fX2i7eqhsWJIcvOkaljWyZYPk9wjcfPPNNvzAjTfeWCgkVf3f8f9EAL6A\n8KZuDytSXETSgFCVGnujm3K+Ht3ScS2wDGSKl9Sr3Lpd9zEpvc1lshyVXW8E2KiqqA24qm4p0wKz\nZ8+2/gq9dOn1lt7req/y/etYnPJYM/yy0lpV8N3ACpJ0qsqvq6hjdOYe41MUDkXpVkU5YMAqrdGj\nR7cGjyz+IT72zhpR9lu3X2fUse8bEpCCjjXAP677FFJUu7Kc861V/bAAaWomSy+1JA8PRQYqBoum\nC235q7/6K/uQh0jEkYm48377KauIKSvqoqwihfKStIE5ewb/ItpRhP7oU/RUYBF69aMM+oA+4+P6\nAyyqJIhFtjtvW/B1cYN9UVO0WduHH4TvF+H0wsEzyn8vaz11z0c/0HampPxpqrL01tRMgPYgC9Mz\nSNFm4n5j+vDDD5tbbrllWKRDoqU6IQCQm26JmpJx6dx3t+kblybu2wUpK3O/mG6b5tGnRHRcu3Zt\np81xuvbzPHqxWRtTZ20OY8+9409TRG1uyLTVI488MmxH8X72RVF1cR9OnTp1WHuLKlvlDA4CIiKD\n09eRLXXzu8GbWq0GrUhlu5w89NBDrQ/EaaedFpkKchBMRdldKknAXjO9CEmWsO/gSV39GGij/Ebq\nSkJcpzgy0vT7zbXHffukN8m9xT0CQSFfr/vQ1VHH79NPP90cffTR5tJLL62jetKpIQiIiDSko8pU\nk8GBEL9NfZhgDbnmmmvM5s2bY2EKk4okb60UFs4XW0FwIYoYdEtfxDWf+OAEedddd5mNGzfWmlTW\nnSwl6Rf6Opgm6yTNYv2iv9gjhNDgTRT+N7CGtI1UNrEvmq6ziEjTe7AA/RnMeIvDnNy0tzPeLI86\n6iizcOFCc/zxx0eiQfuQbm2LG1gon/y9LBw8lKNM8JEKFXwSHbH2/PM//7N5+umne+pacPWZimP3\n0MCHpTGracCYAddJEX1NmZSzZs0au+rEld2Ub1lDmtJT9ddTRKT+fdQXDdnxeMuWLY17O0uidxqr\nhgObPE7+93//13z0ox+NtDK4ASrLG7ErP++3G9BuvfVWEzc1lbeOovND7sDs3nvvjSWQRdeZtjz/\nHsDHqBcZTVs+6fEVWbRoUe2tWOG2Ob27WSHDefRbCMQhICISh8yAnWcww7IwZ84cU3RckbKgZKDA\nNMx3nLWDa3lJAthE+ZcwmHKtjAEqDWZMdbCV+tKlS9Nkqzytm1Kry1QS/ek7mea9b5ICjGUhWHnS\nGOsQ1kMsWk215CTtF6XrHwIiIv3DuvY18YDBVIwJuurBtRdYSawADCxIHEnpVYd/nfooD1z4JmDb\nu9/9bhPEg6hsSgb93KDQjYz57ajbcdXmfXBzksTJ1KUt8pv7CdLTBIsW/wdTpkyxLwBN9Skrsu9U\nVjEIiIgUg2NrSuEt9ZJLLqn1Ekv3MAwCIHVddlyENcTvWEdseGv2fQTi/Ev8vGUdVz2Q520XfdRP\nh8cq+6obVi4CLkt6ua/rKjNnzrTWt6Y62NYV10HXS0Rk0O+AiPbXeVWDIyF77rlnV3+WokkIMFE3\nUzS9pq78t+yyfAvQx1lDmr5qoUwyRZ8V7WQK9mXIv//7v9upUVbS1NEiWefnQhn9oTL7h4CISP+w\nblRN7qGzePHi2jwUHQkByG7BupzloogpGddplEn9DBBpSE54ICzS/E8fsV9P0/dxcVYR3z/D4Z7l\nu19EMItucXnc/bV169ZaWiTd86Db/11c23ReCPRCQESkF0IDfJ2HT10iYfKg/vSnP232228/u8rA\nRUmN6p40RCEqf/gclgfqc8QGcoE+Wd5ayecPuP4UT7jebr/Rgby01enVLX3drxGQrtsS7G76hzHt\nl5NpN53SXEN/xPWjmx6tg88I9xk+IYhIiIVBf0pA4E//XyAllKsiW4BAsNmRHfhZTbPvvvsaBosq\n5MEHH7R+BGeccYYdrN75znfGqlEGCWGA2GuvvTp1Uj9Levnupksng3cAocEq4j7btm0zP/7xjy2x\n+fWvfz2sHi/biMNvf/vbxr09j7jYwBPvete7zLPPPmu453oJg+Mrr7xiMWMQZ/oLUuYw7ZW/TtfD\nJATdDjzwQPu/NmvWLPPb3/7WfPzjH69EZf6XWA7O0vXbb789cvl6JYqp0tYhIItI67q0+AZhETjz\nzDPN/vvvb4gG6d7ciq9peIkMOCwnfuyxx6wVhCWO3awQUQ/14SWm+8WDuJvFomjSQ3t9f4Zu0zhY\nq5ocDTfcE/QdlgzfWuSn8Z1My/S78ess+7jX/cp1rIDIggULci9DT9oe7sOvfvWrlnxcd911PX2i\nkpardEIgFoGydtNTue1CgF1fb7rpJrsjIzupBgNGaQ10dQWEZ2jGjBmdHWw5HwzUsfUm2ZU2NrN3\ngXqSlpU0nVd84kMwpnz3QS8n7HjaDQuXrknffptcH0S1vUltitOVvk36P8T/Hf8LZf/foWvgjG3r\nmjZtWmL94tqo80IgKQImaUKlEwIgwMOTB2LAbO13kYMhZbuHLg/CqEHeDVDh3ohKG06T5Dc6pGkT\n6fn0Q9CLdr700ksW/37U2c86zj333KGrrrrKtjFNH/RTxyLqynLPcN/7/3dF3e+0h7L5v4MI8lm/\nfn0RzVQZQiAxAn8SayrRBSEQgQDTMjfeeGPHhE6ERT5M2TBVkVYwuRMumjKYiti+fbuN2Eicgiin\nQ3wsOE9dmJARTNjkzSvognSb/gnXAR7o4XQJXy/yN3rR9t/97ncmIGpFFl2Lsg4//HDzZ3/2Z7aN\nafqgFsonVKLXdExcMdz37v+OKTn8R/DZYouDLP936IFTLHFBmOrC52bJkiV248i4PZvidNN5IZAX\nAfmI5EVQ+Q3BmPDjCN6k7H41DJJjx461PgzAwxJTHnY7duywaO3atcume/755+3vyZMnm1NOOcVM\nmjQplUMcxIEHdPCGGUlabOEJ//Aw7+YP0qsY8kcRp175slyHuL366qtdg7llKbfqPGCIL0Rbg2Vl\nJSFx/cL/HRF+2eiQD5sIsqpswoQJnSzjx483r7/+uv0d9393xBFH9M3vq6OYDoSAh4CIiAeGDvMj\ngGUgMKvbFR08+BCsHOyF4j8gJ06caK0YWBTyyDe/+U3zvve9L5UVw6/P6ZuXRFAOA00/3uSxPiFt\nC7HdZiJSNAnx72GO3X3MSqpu/3cQk7333rsv92lYR/0WAnEIiIjEIaPztUfAPdyxikB+0pIJ8vMA\nL4o8YKGBWKFPmdJWIkJfYDkLJpbLhK/vZbv7NC/p7rviqlAI9AkB+Yj0CWhVUzwCTMm4gR8Swhs1\ng1kSyeIP0qtcCA2ESJINgbIJXDat8uVy95lISD4clbvdCIiItLt/W9u6KJ8MyAhvn+4NNK7x5GVg\nKGNwcIQorm6dHxwEnIWsjPtscFBUSwcBARGRQejllrURohG3SsZNs7g3Ub/pWEscgSnz7RvdepEh\nXy8d/x4BMGvLoO1ISJn3me4bIdAWBERE2tKTA9QONyUT12Rn7YB0OGGQ45PWj8TlT/NN/ZCepNNE\nacpuc1r6FSfmpotISNN7UPr3G4F39LtC1ddeBBh48ZFgWa5bKhjVWre0Fw9+9tVI8xbsLBpR5frn\neBN10yR/+qd/av76r/+6MKdUv564YywzSXWNKyPuPMuhN27cGHe5seeDwFqN1d0pLhLikNC3EEiO\ngIhIcqyUMgIBrAxPPvmkDUrmYhkcdthhNobI3LlzI3IYu7SXJb2LFy82q1atMkE0Rxugi03t3NRK\nVEbqipuSiUrPOVZh/OY3v4m7XOp54pIwMHVrUxYFxo0bZ/HOkrfOeYh3wb3QVBEJaWrPSe+qEdDy\n3ap7oKH1E5VxxYoV1voxffp0Q1CyD3/4w5mWrrrATOzwOXr0aDN//vzI4GZpLQykd0HKIDFYbIom\nBb26j3qRNFafXmXSjjYucyXKJ4Ht2PG1aSIS0rQek751QkBEpE690QBdIA3BnhdW0zjCkKcZPsG5\n9dZbO4NSGhLipojC/iBx5/PomyRvGt2TlEcawnsTkjvcxqT565gOa9dTTz3Vd7KYFwuRkLwIKv+g\nIyAiMuh3QML282ZPJE/8P3yCkDB76mQM3uynseeeexq2vGfgTWJVSGL5KIMY9Gpg0XWCCb4i8+bN\n61V1I64zmLPfEA6rTRKRkCb1lnStKwJaNVPXnqmRXlgpePNm/h5n1H6Yzqlv8+bNZurUqdZcn2T/\nEQYFpNf0C2VDDLCQ9EuKXNIL2WJPkfvuu8+2o19tKLOeBx980DDF1yThHoIca4luk3pNutYRAVlE\n6tgrNdKJN++VK1faHXGrmgaAYFx00UXWOnL33XdHPvgZFJw/SFL4KJdBJImlJWmZ3dJlfXsmn7+i\nBFKDzk2dyojCCIvXwoULTVN2fi3awhWFic4JgUFBQERkUHo6ZTuxFpx//vnm5z//ufn617/et8E6\nTk30mTNnjnnzzTfN2rVrO2Qkr99HkqmcOJ2ynE8ygIWJRxzBYgt4lkmzPXyTxfkdYQFrgiTpwya0\nQzoKgbogICJSl56okR4M7lOmTLEa+YN+HVTEQvPyyy9bMoKefHpNxfTSOy+Z6VW+f526ID++zgxs\nvsQRDz8Nx5SDVaRXgLdwvrr9Pv30083RRx/diN2ERULqdvdInzYgICLShl4suA0sowxbHgquIldx\nkJFvf/vb5t577zUHHHBArrL8zAwySUmAny/t8Te/+U2bhaXKSJ4pL7BAmmoVAXP8gPA9qruvhUiI\nvdX0RwgUjoCISOGQNrtAzP0EJqubJcRHFVM+JIRAZUmcWP28vY6L9htx1ha/Xucsm4eAuPKabhVh\npQxEhBVZdRaRkDr3jnRrOgIiIk3vwQL1Z4A/99xz7UqMfjlwZlWfAZ7pozIGsTx+I2HiQeAxfxrG\nb29Rg9vNN99snnnmmcJJma9rGcfLly83ixYtsqujyii/qDKL6qei9FE5QqBtCIiItK1HM7aHAZRp\nCSwNTVm5gPWCN+o1a9bkmt6IgswRil5WC5fOldGNeLg07pu8YX8Rdy3NN+UcddRR1pn3vPPOS5O1\nsrRl9l2RjRIJKRJNlSUEohEQEYnGZeDO4heCLF26tFFtL/utmoHI9xuBOPhBt9IQjyhgGZCLiEVB\nOeiJr0WcBSaq/irOQZzKsmYV2R6RkCLRVFlCIB4BEZF4bAbmCg/cpjgMRnUKVhEsAWVYAyAezz33\nnHn3u99t98FxMTyi9Mh6rqgBj8Bzl1xySe3DpEN633777VpPJRXVJ1nvCeUTAoOEgIjIIPV2TFub\ntHwyqglFEiksC1HBw/L4jUTp7J8raoqGMv3lzXVchVJ3/egLrEq9puT8/tOxEBAC+RAQEcmHX+Nz\nFzmIVwkGZOrUU09NbRUJEw9/GibcnjIHKYgOUoSTsBvs6xCIzsfQ6VXXFVlFEkK/3ToWAkKgOwLa\na6Y7PrFXDz/8cDNq1Cj7YRdUX9x5vjdt2uRf6nrMfht+3q6JC7p4xx13mLlz59Y+hkOv5hICnhUY\nvQTi5X8Y+Hn7dZ9uVgSukY78DFpFCnr4vid5yiamyGGHHWZ1hWhVLWAFUXSB6LphXJWuIiFVIa96\nhYAxtSUiDO5uUGbQlxSPAA/fZcuW2UGi+NL7W6Jb6QNJ8MUnHRw7wuG+swyK5MWC4awYfn15jh3J\nyVOGywsZYZdkLDw49FYlECFW9Oyxxx61jU0jElLV3aF6hcDvEXiHgBhcBNavX29mzJhRyHRAHVD8\nxCc+YYmVrwuDexnCyhRHRoqYTnE6QhwYvItY+cIuyd/5znfMrFmzzCOPPGKIN1Kkrk7nqG8GdzYo\n/PznP2/uueee1FNmUWWWcU4kpAxUVaYQSIdAbS0i6ZrR/9QvvfSSGRoash8e9E2URx991L6tNlH3\nsM4EY/vYxz5mp8KctaMsEuLqdoN6kdMfzkLDAFmEgMHGjRvNIYccYvelgYwUVXacfqzewQpCkDUc\nP8tYzRRXd5rzIiFp0FJaIVAiAsFgWit5/vnnh4LmRn6Cee8Rut55551DnPfzcG7Hjh2RaV26s846\ny16//vrrO3ldBpeGb/Thc+KJJ9p0lI34dbpzcfkff/zxTn7KpCzOheWBBx7o6EK6KEnT3qj8/rlg\nIB0K/BL8U40/rqJNwSqbocDyUCh2RZeHcgEpGJo2bdoQGF177bWF9j0YrF69eiggPPbDcZ0FfcFD\nIgSEQPUIRI92FeqVlIhANBw58ImDO95nn32GXn/99WEtYRB31yEi4fwusUvDt09U+O1IR1IicvXV\nV3fq9Mv1y3L1diMiWdrryo365iHMgNQ2YaANppwqaRbkgQGuKCmDjKAbfX/55Zfb+/LYY48dCqZO\nMg3KjnxQFvcS2NedgNB+kRBQkAiB+iDQWB8RfBueeOKJYDyPlmDgNieffLJ57bXXDNEvw3L//feH\nT0X+vuqqqyLPJz153XXXxSa94IILzMEHH2yOPPLI2DTuQt72unLc91tvvWUmTpzoflbyPX36dOP6\nIfiXKEQHtpMPCGglYeqZBmGahumVYGDO3R6Cp+GHUkRZvjL4n+DMOn/+fIOfEFN0AWG2SbgnwBAZ\nP378sP+drVu3ml27dplXXnnFvPjii2bLli0mIB922fRll11WuJ5WiYL/aDqmYEBVnBAoAIHa+Ygw\nKDMoBZaHTvMC64M9h18GwjJXn4SQljx8AqtCJx9kxP/dufCHA8oNLDCdvOHr7jcPaVd+Fn+QOP0o\nn71deklR7fXrYbB2A45/vqrj4C21kKoDS5gdKAspLEMhzsm0CL8RCEhRS3qjmgJhwqGVsP7U89RT\nTxmWQSMQjsWLF5sFCxZ0Pq+++qq9dsoppxhWtfE/we7H+IAUTZZsRQX/cc7Fro8KLl7FCQEhkBWB\n4GFSS2EKJGiT/TAN4kvwsOxcY+ojLHF5/fOUzTRQlLh6+Xa+JOF0aaZmwnnDegQPfZskbmoma3vD\n9fq/b7rppiE+VQrYOqzj+iKtfkxnMEVQtWD+L2pqpahyqsakyvrxhWqbP1SVeKpuIVAkArWziAQD\nU0954YUXOmmi3uonT57cuU4Qpbi37SRTIuxjkkeI9hmWj370o8NOMU3STYpqr18H5nWsB3UR97Zd\nF33y6oG1gamaIoKfuSW9eXUa1Pwu3ksTrDaD2kdq92Aj0EgiArlwgh+IC3zmvsMDbBQRYVomiey+\n++5JksWm2XvvvUdcC/usROnnZyqivX55HLPpWJRu4XT9+v2lL33J4IPQNoGMuCmBrG0reklvVj2a\nmE8kpIm9Jp0HDYFGEpFB66Q6t9ePgOuIYNJv56hK+5xz8Q033NA6QuJ8EvL4jVBGsNqlzrdC7XQT\nCaldl0ghIRCJQCOJiG/N8J1NgzmrjlOpf1zlmz9OoWEJW0B66VdGewm53WtKKKx32b8hI6xSwjrS\nNmFagE84BH2adrqpnjR5BjWtSMig9rza3UQEGrl894gjjrAbaAE4vgVJfD2q6hyiS5500knDqn/2\n2Wc7v5lG6kVEymjvhAkTrBWio4gOSkfA9xvptstvN0XKWtJLnVhsmB6DEG7fvt1s27ZtmCqQV+4b\npivHjRtnfWCGJajJD5GQmnSE1BACCRFohEVk586dw5pzzDHHdH4Ti8Pf/Za3/IsvvrjjN1L1hnnE\nEfH1YykuOjs555xz3GHsd1ntZYlm24SBlAGzzpLHbwSrCrEwigjTThmEY585c6YN/37mmWeaFStW\nWOjGjBljd2VmZ2b3YdkuAvnnHFNwOHMTNt4N/jZBhX+cHnJMrbATVLUQSIlAIywivKHx0GOKglgi\nZ5xxho1t4Jw4Gdj9wd3HgAdm1dJNPxe3oZuOZbSXYFXEicgrrFBieqxICTvzpikbcsVbe90Fnw8G\nTawQzockqc6kdzsJJ83jpyMv8XUWLlzYCUgWhHzvGQsEAuULRCZYWmwee+wxax1Br9mzZ9vYJH66\nfh2LhPQLadUjBApGoMi1wEWWxV4sQVOHfQIi0qkiICcjQrSH0xOvwxc/fodflp+GY78cYntECfld\nunA97jzf4RDx/rVwvrg4ItSfpb1RertzxFQI3hrdz9Z8VxniPQuIgb9Q5vDqafdKcTFW6HdiyBQZ\nV4N2VLnXjOKEZLn7lEcI1AOB2k7N4FcRDNSxsS7wq1i3bp1NE+wZE4zvfxQiofKWniUK6h9LKeaI\nMOa8fWLNcYK+AdFKpV/R7XWm6zwrOVx76vS9atUqc+CBB9ZJpa664DdCX6R1YiUfH2cF6FYJlgsc\ngKdOnWqj6bL65tJLL+1pAelWZvgauhCldfPmzTZ0/DXXXGOnbfpxf7k63D0d1k2/hYAQqDcCo+BD\n9VZR2pWFAL4BbNde123a07Z7w4YNJtiAzQ6GafPWIT1kJK0Ta68pGq5DyPfff3/ry9HPwRrfkc9/\n/vMmsL5Y4lMGxpAQ2gQRkggBIdBMBGprEWkmnM3SGufD5cuXN0vpLto+99xz1uehS5JaX8rixNpt\nSS99ixVkzpw5dk+YfpIQgMbqgvVlzZo11iG2CAdbvwNFQnw0dCwEmouALCLN7bvcmjMw4BgazK8X\naqbPrVjGAljaysZtaZ0/M1ZXWjamW+ibpO1w0zM+0bjiiivMypUra4EHbYEMvfnmm2bt2rWFWC9E\nQkq7/VSwEOg7ArKI9B3y+lSIOZupjGXLltVHqYyasAx19OjRiQfvjNX0JRuEgk9SvxHSMtjzQSAh\nrCjDGpGUzJTZMO4zdvjFT2rKlCkdPbPWKRKSFTnlEwL1REAWkXr2S9+0YrDDfM+g1eR59g984APm\nkksuMTNmzOgbdv2oiP5J6jdCWhyjISFFWR6KbqMjSVn1EwkpukdUnhCoHgFZRKrvg0o1wMdg4sSJ\n5u67765UjzyVYw3B55qYJgzG/idPuXXIm8ZvhGBuTMd8/etfry2pvPHGG81+++1nzj///NTwioSk\nhkwZhEAjEJBFpBHdVK6SDNxYRfj2/QzKrbW40g899FC7ZJTlo2GhTb7gE1OH6QpfpyTHvfxGGKSx\nnNRlOqZbm5hCYorm2GOPNfPmzeuWtHNNJKQDhQ6EQOsQEBFpXZdmaxAm87ffftvO5WcroZpcLBFl\nVQZOqkmEQZDB2pekUx9+niqOne5YSXzhPMuwcQhtylJsiAXh4em7cHv8tnEsEhJGRL+FQLsQEBFp\nV39mbg2DGQPyrbfeWlmI7rTKF2UFoJzwjsi9Bse0uhaZHiuPT54IVrZlyxa7RLfIesoui+XFixYt\n6hr3JdzWsnVS+UJACPQfARGR/mNe2xp56DNF04QlsGVbAcJTOiwNrtO0FeTJORejW1OXYGMV4Z4j\n5khY6IM6E8KwvvotBIRANgRERLLh1tpcTHXcddddZuPGjZ2Bro6NZQBjOSjOj/0QfDQY7H3xrRL+\n+X4do9MXv/hFs++++yb2teiXbknrceQ3vGpLJCQpgkonBJqPgIhI8/uw8BbkXWJZuEKhAuuiX3hK\np9+OsBARrCHoccABB4RQas7P008/3e6B46wiIiHN6TtpKgSKQEBEpAgUW1hGXQZ7H1qmY9hMra5x\nMtAv7Ahb5pQOfYT0yyrk90WRxxAP9sNhwzyRkCKRVVlCoBkIiIg0o58q0ZKBbv369TZIVtVLXhnk\nWfKJZA2GVQWIUVM6Rfk9QHKa4M+TBHeWYF9wwQXm4osvTpJcaYSAEGgRAu9oUVvUlIIR4E0bnxH8\nMapcTcNbMg6N06dPt/FCnJNmwc0tpTgcXMNOrrTHlyxTOuw0DDmsmiD67chzPG3aNLsXTZ4ylFcI\nCIFmIiCLSDP7ra9aOyJA5NJrr712xMBaljJYQb761a+a22+/3Vx33XWNiZGRFo+oKZ1ejrBYq3bf\nfffGOqmGMcLPBcIbdggOp9NvISAE2oeAiEj7+rSUFjFY4p9BCPG5c+faEN1lWiYI2059+++/v7XK\nhK0KpTSyRoWGHWFRzZ/SYSpjyZIlw87VSP1MqrRpqikTAMokBAYUARGRAe34rM3GOrJgwQLz/PPP\nW0LCioeiSAJkZ/Xq1TbIFfotXLjQHH/88VlVbV0+N6Xz29/+1hxzzDGNjR0S1zEzZ860EWKbEh02\nrh06LwSEQDoEtOldOrwGPjVv5Q899JANzb19+3a7fJQBhCiZOGamFcgH1g/KwFfikUcesQSEFRQi\nIcPRBHs+7373uw0+FQiWk7bIhAkTDPeURAgIgcFCQBaRwervwlsLkWBlzaOPPmoee+wxM3r0aDud\ncvTRR9u62NnXF3aI3bVrl3nllVfMiy++aEOTM6ieeuqp5oQTTijMuuLX2bZjSB8B55YuXdqqpuGA\nu3jx4saFqm9VJ6gxQqACBLRqpgLQ21QlfiLseut2vuUNHbKxY8cOSziYxvFl7NixZsyYMeaUU04x\nn/vc51rl4+C3s8xjiBzWg7YJFjGJEBACg4eAiMjg9XmpLW7TktJSgVLhIxDAWRXfI4kQEAKDhYB8\nRAarv9VaIVBbBHB6zuJnVNsGSTEhIAQSISAikggmJRICQkAICAEhIATKQEBEpAxUVaYQEAKpEZA1\nJDVkyiAEWoGAiEgrulGNEALNR4Coqm5ZcvNboxYIASGQFAERkaRIKZ0QqAkChHZXvI2adIbUEAJC\nIDcCIiK5IVQBQqC/CIwbN85s27atv5X2oTZWzBxyyCF9qElVCAEhUCcERETq1BvSRQgkQIAN8Vat\nWpUgZbOSEOSOGDMSISAEBgsBEZHB6m+1tgUIEEQOy0GbwrvTLUTaPfLII1vQQ2qCEBACaRAQEUmD\nltIKgZogMGnSJLNu3bqaaJNfDUjVzp07DQHxJEJACAwWAiIig9Xfam1LEJg8ebLdeLAlzTGbNm0y\n06dPb0tz1A4hIARSICAikgIsJRUCdUGAnYmxIrQl9saiRYsM5EoiBITA4CEgIjJ4fa4WtwQBLAhf\n+cpXGt+a7373u3ZaBnIlEQJCYPAQGDUUyOA1Wy0WAs1HAGvIhz70IfODH/zA4MDaVDn99NPN0Ucf\nbS699NKmNkF6CwEhkAMBWURygKesQqBKBNgkbuLEiebuu++uUo1cdWMNIX7I+eefn6scZRYCQqC5\nCMgi0ty+k+ZCwPqJEFeE8OgQk6aJrCFN6zHpKwSKR0AWkeIxVYlCoG8IsNz12muvbeS0xvLly80b\nb7wha0jf7hZVJATqiYAsIvXsF2klBBIj8Ktf/cpgFbnuuuvMeeedlzhflQmdf8uaNWusn0uVuqhu\nISAEqkVARKRa/FW7ECgEAXwtpk6dap566qlGBAU77rjjzLHHHmvmzZtXSPtViBAQAs1FQFMzze07\naS4EOgiwembu3LnmzDPPNFhI6ixXXHGFVU8kpM69JN2EQP8QkEWkf1irJiFQOgIM8i+//LJZu3Zt\nLZf0ot/69evNxo0ba6lf6R2kCoSAEBiBgCwiIyDRCSHQXARuvPFGc9hhh5kpU6bUzjICCVm5cqV5\n4IEHREKae4tJcyFQOAIiIoVDqgKFQLUI+GSkDjv0MlXkLDVN8WGptgdVuxAYLARERAarv9XaAUEA\nMoIzKE6hGzZsqKzVrI7BOuOmi7S7bmVdoYqFQG0REBGpbddIMSGQDwGcQe+9915z7rnnmpkzZ/Z9\nqoY4ITjRQoiwhDQ5DH2+nlBuISAEuiEgItINHV0TAg1HgI3k2IsGIdbIzTffXHqLWEqMJYYddYkT\notUxpUOuCoRAoxHQqplGd5+UFwLJEYAgLFiwwEYz/exnP2sjmhZppXj44YfNihUr7N4xTQqulhxB\npRQCQqAMBEREykBVZQqBGiMAIbnjjjvMsmXLzIwZM8wpp5xiJk2alGnqhLIef/xxc/vtt5vRo0eb\nOXPmmE9+8pOZyqoxZFJNCAiBEhEQESkRXBUtBOqMAI6kTz75pHnkkUfMqlWrrC8HS3/HjBljxo8f\nb3bbbbcR6rNT7q5du8yWLVtsnkMOOcRMmzbNnHHGGY2I6DqiQTohBIRA5QiIiFTeBVJACNQDAawb\nW7dutUTjmWeeiVRq7NixHaJy4IEHNnLH38iG6aQQEAKVISAiUhn0qlgICAEhIASEgBDQqhndA0JA\nCAgBISAEhEBlCIiIVAa9KhYCQkAICAEhIARERHQPCAEhIASEgBAQApUhICJSGfSqWAgIASEgBISA\nEBAR0T0gBISAEBACQkAIVIaAiEhl0KtiISAEhIAQEAJCQERE94AQEAJCQAgIASFQGQIiIpVBr4qF\ngBAQAkJACAgBERHdA0JACAgBISAEhEBlCIiIVAa9KhYCQkAICAEhIARERHQPCAEhIASEgBAQApUh\nICJSGfSqWAgIASEgBISAEBAR0T0gBISAEBACQkAIVIaAiEhl0KtiISAEhIAQEAJC4P8Di13nEo+f\nAH0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='sentiment_network.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'': 0,\n",
       " 'nihilistically': 1,\n",
       " 'natsuyagi': 2,\n",
       " 'coin': 3,\n",
       " 'empt': 4,\n",
       " 'dimentional': 5,\n",
       " 'cinematography': 6,\n",
       " 'kitch': 7,\n",
       " 'buffoonish': 8,\n",
       " 'formatting': 9,\n",
       " 'trudging': 10,\n",
       " 'joked': 11,\n",
       " 'twit': 12,\n",
       " 'snipping': 13,\n",
       " 'sachin': 14,\n",
       " 'alight': 15,\n",
       " 'thanklessly': 16,\n",
       " 'rifted': 17,\n",
       " 'eriko': 18,\n",
       " 'derriere': 19,\n",
       " 'undeliverable': 20,\n",
       " 'witch': 21,\n",
       " 'shapeshifter': 22,\n",
       " 'conmen': 23,\n",
       " 'donati': 24,\n",
       " 'seadly': 25,\n",
       " 'kilometers': 26,\n",
       " 'unrurly': 27,\n",
       " 'sensationalized': 28,\n",
       " 'phili': 29,\n",
       " 'deliver': 30,\n",
       " 'gaita': 31,\n",
       " 'forbidden': 32,\n",
       " 'hagerthy': 33,\n",
       " 'recreational': 34,\n",
       " 'silvio': 35,\n",
       " 'sanderson': 36,\n",
       " 'beek': 37,\n",
       " 'happens': 38,\n",
       " 'his': 39,\n",
       " 'tolerates': 40,\n",
       " 'fannn': 41,\n",
       " 'jawline': 42,\n",
       " 'servicable': 43,\n",
       " 'benumbed': 44,\n",
       " 'illona': 45,\n",
       " 'prowled': 46,\n",
       " 'dardino': 47,\n",
       " 'tomie': 48,\n",
       " 'craparama': 49,\n",
       " 'paiva': 50,\n",
       " 'hve': 51,\n",
       " 'fairly': 52,\n",
       " 'hyperactive': 53,\n",
       " 'trundles': 54,\n",
       " 'ambiguous': 55,\n",
       " 'delhomme': 56,\n",
       " 'dinsdale': 57,\n",
       " 'schecky': 58,\n",
       " 'bedpost': 59,\n",
       " 'helper': 60,\n",
       " 'jettisoned': 61,\n",
       " 'subscriber': 62,\n",
       " 'utilizing': 63,\n",
       " 'consulate': 64,\n",
       " 'catalogue': 65,\n",
       " 'parris': 66,\n",
       " 'goofball': 67,\n",
       " 'hoopers': 68,\n",
       " 'oaths': 69,\n",
       " 'csi': 70,\n",
       " 'gravedigger': 71,\n",
       " 'ottaviano': 72,\n",
       " 'ghostwriting': 73,\n",
       " 'superwonderscope': 74,\n",
       " 'pay': 75,\n",
       " 'madagascar': 76,\n",
       " 'maloni': 77,\n",
       " 'whytefox': 78,\n",
       " 'schematically': 79,\n",
       " 'taiwanese': 80,\n",
       " 'chihiro': 81,\n",
       " 'home': 82,\n",
       " 'hotshots': 83,\n",
       " 'arrest': 84,\n",
       " 'blabbermouth': 85,\n",
       " 'ghatak': 86,\n",
       " 'proudly': 87,\n",
       " 'caesars': 88,\n",
       " 'natal': 89,\n",
       " 'incisions': 90,\n",
       " 'vin': 91,\n",
       " 'dishum': 92,\n",
       " 'confinement': 93,\n",
       " 'gauntlet': 94,\n",
       " 'nitrous': 95,\n",
       " 'pealed': 96,\n",
       " 'hornophobic': 97,\n",
       " 'mustang': 98,\n",
       " 'dropped': 99,\n",
       " 'recapping': 100,\n",
       " 'bajpai': 101,\n",
       " 'grable': 102,\n",
       " 'reformed': 103,\n",
       " 'yousef': 104,\n",
       " 'laps': 105,\n",
       " 'outhouse': 106,\n",
       " 'blend': 107,\n",
       " 'erik': 108,\n",
       " 'mikis': 109,\n",
       " 'jacket': 110,\n",
       " 'whack': 111,\n",
       " 'grocer': 112,\n",
       " 'halve': 113,\n",
       " 'crediting': 114,\n",
       " 'conehead': 115,\n",
       " 'breathing': 116,\n",
       " 'dovey': 117,\n",
       " 'niccolo': 118,\n",
       " 'bombast': 119,\n",
       " 'downscaled': 120,\n",
       " 'rockc': 121,\n",
       " 'nozawa': 122,\n",
       " 'immodest': 123,\n",
       " 'shiftless': 124,\n",
       " 'robt': 125,\n",
       " 'dreads': 126,\n",
       " 'steen': 127,\n",
       " 'specifics': 128,\n",
       " 'gorey': 129,\n",
       " 'coupling': 130,\n",
       " 'serbia': 131,\n",
       " 'reforms': 132,\n",
       " 'inflexed': 133,\n",
       " 'surest': 134,\n",
       " 'ceeb': 135,\n",
       " 'tamako': 136,\n",
       " 'icecube': 137,\n",
       " 'bonaire': 138,\n",
       " 'turaquistan': 139,\n",
       " 'touches': 140,\n",
       " 'turnout': 141,\n",
       " 'explosively': 142,\n",
       " 'boooo': 143,\n",
       " 'chace': 144,\n",
       " 'stylish': 145,\n",
       " 'obstacle': 146,\n",
       " 'disengorges': 147,\n",
       " 'bobbi': 148,\n",
       " 'troma': 149,\n",
       " 'hollywoodish': 150,\n",
       " 'fundamentalism': 151,\n",
       " 'hagelin': 152,\n",
       " 'christiany': 153,\n",
       " 'privation': 154,\n",
       " 'fabrics': 155,\n",
       " 'hating': 156,\n",
       " 'outnumber': 157,\n",
       " 'boran': 158,\n",
       " 'archived': 159,\n",
       " 'peeping': 160,\n",
       " 'tytus': 161,\n",
       " 'kamp': 162,\n",
       " 'cancun': 163,\n",
       " 'misogyny': 164,\n",
       " 'overrides': 165,\n",
       " 'electing': 166,\n",
       " 'micheal': 167,\n",
       " 'pallette': 168,\n",
       " 'knauf': 169,\n",
       " 'prelude': 170,\n",
       " 'rupp': 171,\n",
       " 'morricones': 172,\n",
       " 'prone': 173,\n",
       " 'crawling': 174,\n",
       " 'rhymer': 175,\n",
       " 'locations': 176,\n",
       " 'stark': 177,\n",
       " 'repetitevness': 178,\n",
       " 'yasutake': 179,\n",
       " 'subtlely': 180,\n",
       " 'bolkin': 181,\n",
       " 'es': 182,\n",
       " 'externalization': 183,\n",
       " 'neighbourhood': 184,\n",
       " 'delectable': 185,\n",
       " 'biohazard': 186,\n",
       " 'michael': 187,\n",
       " 'medicine': 188,\n",
       " 'impresses': 189,\n",
       " 'sentence': 190,\n",
       " 'beswicke': 191,\n",
       " 'ramping': 192,\n",
       " 'allison': 193,\n",
       " 'user': 194,\n",
       " 'unability': 195,\n",
       " 'harlins': 196,\n",
       " 'jacquelyn': 197,\n",
       " 'stock': 198,\n",
       " 'bordello': 199,\n",
       " 'colwell': 200,\n",
       " 'mccaid': 201,\n",
       " 'flirtation': 202,\n",
       " 'interweaving': 203,\n",
       " 'oak': 204,\n",
       " 'intelligentsia': 205,\n",
       " 'hyun': 206,\n",
       " 'goo': 207,\n",
       " 'weak': 208,\n",
       " 'balaguero': 209,\n",
       " 'purpose': 210,\n",
       " 'wedlock': 211,\n",
       " 'acknowledgements': 212,\n",
       " 'schimmer': 213,\n",
       " 'steiner': 214,\n",
       " 'bureaucrats': 215,\n",
       " 'xiv': 216,\n",
       " 'creaters': 217,\n",
       " 'majo': 218,\n",
       " 'kasi': 219,\n",
       " 'lizzette': 220,\n",
       " 'manuals': 221,\n",
       " 'receptionists': 222,\n",
       " 'negotiations': 223,\n",
       " 'stroppy': 224,\n",
       " 'bismarck': 225,\n",
       " 'austreheim': 226,\n",
       " 'mccarten': 227,\n",
       " 'animalistic': 228,\n",
       " 'pippin': 229,\n",
       " 'accusations': 230,\n",
       " 'iberian': 231,\n",
       " 'sputnick': 232,\n",
       " 'francophile': 233,\n",
       " 'symbiotes': 234,\n",
       " 'rapeing': 235,\n",
       " 'foundling': 236,\n",
       " 'pixote': 237,\n",
       " 'gunn': 238,\n",
       " 'incandescent': 239,\n",
       " 'soundly': 240,\n",
       " 'lickin': 241,\n",
       " 'smoky': 242,\n",
       " 'slotted': 243,\n",
       " 'reclaims': 244,\n",
       " 'uplifting': 245,\n",
       " 'standup': 246,\n",
       " 'soundproof': 247,\n",
       " 'villarona': 248,\n",
       " 'shudderingly': 249,\n",
       " 'weave': 250,\n",
       " 'philandering': 251,\n",
       " 'spraying': 252,\n",
       " 'excoriating': 253,\n",
       " 'templeton': 254,\n",
       " 'deepest': 255,\n",
       " 'agusti': 256,\n",
       " 'dey': 257,\n",
       " 'billie': 258,\n",
       " 'abott': 259,\n",
       " 'necromancy': 260,\n",
       " 'cara': 261,\n",
       " 'heavyarms': 262,\n",
       " 'morton': 263,\n",
       " 'digicorp': 264,\n",
       " 'moviefreak': 265,\n",
       " 'moths': 266,\n",
       " 'shawls': 267,\n",
       " 'dartmouth': 268,\n",
       " 'visitors': 269,\n",
       " 'prestige': 270,\n",
       " 'lilli': 271,\n",
       " 'tumbuan': 272,\n",
       " 'mockage': 273,\n",
       " 'aus': 274,\n",
       " 'jarrell': 275,\n",
       " 'hollywoodand': 276,\n",
       " 'vindicates': 277,\n",
       " 'siu': 278,\n",
       " 'honcho': 279,\n",
       " 'huffman': 280,\n",
       " 'larval': 281,\n",
       " 'necessarily': 282,\n",
       " 'amsterdamned': 283,\n",
       " 'scrooged': 284,\n",
       " 'freebird': 285,\n",
       " 'transposes': 286,\n",
       " 'savini': 287,\n",
       " 'stonewalled': 288,\n",
       " 'manji': 289,\n",
       " 'shepperd': 290,\n",
       " 'thumbes': 291,\n",
       " 'togan': 292,\n",
       " 'corvette': 293,\n",
       " 'astor': 294,\n",
       " 'compositional': 295,\n",
       " 'haliburton': 296,\n",
       " 'supplied': 297,\n",
       " 'ninnies': 298,\n",
       " 'heeey': 299,\n",
       " 'yielded': 300,\n",
       " 'niveau': 301,\n",
       " 'milanese': 302,\n",
       " 'pensions': 303,\n",
       " 'tavernier': 304,\n",
       " 'mycenaean': 305,\n",
       " 'roxann': 306,\n",
       " 'musician': 307,\n",
       " 'pray': 308,\n",
       " 'seth': 309,\n",
       " 'hav': 310,\n",
       " 'convite': 311,\n",
       " 'vivisects': 312,\n",
       " 'blackbelts': 313,\n",
       " 'unwaveringly': 314,\n",
       " 'mariangela': 315,\n",
       " 'intensities': 316,\n",
       " 'unemployment': 317,\n",
       " 'enviormentally': 318,\n",
       " 'sorted': 319,\n",
       " 'renea': 320,\n",
       " 'wayland': 321,\n",
       " 'unfaltering': 322,\n",
       " 'nuimage': 323,\n",
       " 'exchanges': 324,\n",
       " 'whirry': 325,\n",
       " 'amplifying': 326,\n",
       " 'nickels': 327,\n",
       " 'mood': 328,\n",
       " 'obtaining': 329,\n",
       " 'reactionsthe': 330,\n",
       " 'lomena': 331,\n",
       " 'afresh': 332,\n",
       " 'nixflix': 333,\n",
       " 'hisaishi': 334,\n",
       " 'urgency': 335,\n",
       " 'heavyweight': 336,\n",
       " 'dousing': 337,\n",
       " 'demilles': 338,\n",
       " 'vanishings': 339,\n",
       " 'quivering': 340,\n",
       " 'poseidon': 341,\n",
       " 'loisaida': 342,\n",
       " 'scuffed': 343,\n",
       " 'scarsely': 344,\n",
       " 'pours': 345,\n",
       " 'warfare': 346,\n",
       " 'cortner': 347,\n",
       " 'melchior': 348,\n",
       " 'bosnians': 349,\n",
       " 'chaperoned': 350,\n",
       " 'director': 351,\n",
       " 'particular': 352,\n",
       " 'anbthony': 353,\n",
       " 'lesbianism': 354,\n",
       " 'nore': 355,\n",
       " 'ports': 356,\n",
       " 'disapprovement': 357,\n",
       " 'verily': 358,\n",
       " 'highly': 359,\n",
       " 'hellbent': 360,\n",
       " 'motta': 361,\n",
       " 'leopold': 362,\n",
       " 'chortles': 363,\n",
       " 'polnareff': 364,\n",
       " 'justification': 365,\n",
       " 'sordid': 366,\n",
       " 'controlness': 367,\n",
       " 'unproblematic': 368,\n",
       " 'synchro': 369,\n",
       " 'entirity': 370,\n",
       " 'infomercial': 371,\n",
       " 'materially': 372,\n",
       " 'marinate': 373,\n",
       " 'paget': 374,\n",
       " 'teaming': 375,\n",
       " 'metropolitan': 376,\n",
       " 'vanties': 377,\n",
       " 'pythonesque': 378,\n",
       " 'dampens': 379,\n",
       " 'beckinsell': 380,\n",
       " 'huntress': 381,\n",
       " 'iaido': 382,\n",
       " 'pyromaniac': 383,\n",
       " 'clory': 384,\n",
       " 'cinmatographe': 385,\n",
       " 'perfomance': 386,\n",
       " 'communicate': 387,\n",
       " 'offsuit': 388,\n",
       " 'abusively': 389,\n",
       " 'truisms': 390,\n",
       " 'twizzlers': 391,\n",
       " 'sheldrake': 392,\n",
       " 'infests': 393,\n",
       " 'lachaise': 394,\n",
       " 'punchbowl': 395,\n",
       " 'oly': 396,\n",
       " 'charcters': 397,\n",
       " 'palatir': 398,\n",
       " 'gunghroo': 399,\n",
       " 'childrens': 400,\n",
       " 'contractually': 401,\n",
       " 'traditionalist': 402,\n",
       " 'repay': 403,\n",
       " 'permission': 404,\n",
       " 'torque': 405,\n",
       " 'yvan': 406,\n",
       " 'quickly': 407,\n",
       " 'instaneously': 408,\n",
       " 'trevino': 409,\n",
       " 'simialr': 410,\n",
       " 'torments': 411,\n",
       " 'woodman': 412,\n",
       " 'edina': 413,\n",
       " 'attract': 414,\n",
       " 'freleng': 415,\n",
       " 'biopic': 416,\n",
       " 'incertitude': 417,\n",
       " 'youtube': 418,\n",
       " 'impression': 419,\n",
       " 'grotty': 420,\n",
       " 'hata': 421,\n",
       " 'pauper': 422,\n",
       " 'zowee': 423,\n",
       " 'beefing': 424,\n",
       " 'pinpoint': 425,\n",
       " 'nekeddo': 426,\n",
       " 'lampoonery': 427,\n",
       " 'gwynyth': 428,\n",
       " 'wexford': 429,\n",
       " 'pollute': 430,\n",
       " 'tweaks': 431,\n",
       " 'takuand': 432,\n",
       " 'academic': 433,\n",
       " 'barres': 434,\n",
       " 'redemeption': 435,\n",
       " 'ala': 436,\n",
       " 'unprincipled': 437,\n",
       " 'unfolded': 438,\n",
       " 'agatha': 439,\n",
       " 'diving': 440,\n",
       " 'shoals': 441,\n",
       " 'teachs': 442,\n",
       " 'hellbut': 443,\n",
       " 'infrastructure': 444,\n",
       " 'doctoress': 445,\n",
       " 'pitaji': 446,\n",
       " 'walmington': 447,\n",
       " 'witnessing': 448,\n",
       " 'characterless': 449,\n",
       " 'croon': 450,\n",
       " 'meltdown': 451,\n",
       " 'fun': 452,\n",
       " 'georgina': 453,\n",
       " 'batter': 454,\n",
       " 'pillage': 455,\n",
       " 'stationed': 456,\n",
       " 'anette': 457,\n",
       " 'amigos': 458,\n",
       " 'dialing': 459,\n",
       " 'tubercular': 460,\n",
       " 'scoobys': 461,\n",
       " 'longinotto': 462,\n",
       " 'w': 463,\n",
       " 'rawal': 464,\n",
       " 'extracts': 465,\n",
       " 'tutu': 466,\n",
       " 'trainyard': 467,\n",
       " 'lefties': 468,\n",
       " 'victorians': 469,\n",
       " 'alcaine': 470,\n",
       " 'swifts': 471,\n",
       " 'weathering': 472,\n",
       " 'freudian': 473,\n",
       " 'resultthey': 474,\n",
       " 'segregation': 475,\n",
       " 'pathetically': 476,\n",
       " 'savage': 477,\n",
       " 'fascistic': 478,\n",
       " 'pyramid': 479,\n",
       " 'neworleans': 480,\n",
       " 'resets': 481,\n",
       " 'businesswoman': 482,\n",
       " 'weened': 483,\n",
       " 'executing': 484,\n",
       " 'alterated': 485,\n",
       " 'writer': 486,\n",
       " 'youe': 487,\n",
       " 'vivienne': 488,\n",
       " 'boyce': 489,\n",
       " 'denting': 490,\n",
       " 'daughterly': 491,\n",
       " 'poas': 492,\n",
       " 'macnicol': 493,\n",
       " 'salvages': 494,\n",
       " 'diffusional': 495,\n",
       " 'playgroud': 496,\n",
       " 'ensues': 497,\n",
       " 'manga': 498,\n",
       " 'tactics': 499,\n",
       " 'electronics': 500,\n",
       " 'disapproves': 501,\n",
       " 'lashings': 502,\n",
       " 'locke': 503,\n",
       " 'unadaptable': 504,\n",
       " 'delorean': 505,\n",
       " 'helin': 506,\n",
       " 'beekeepers': 507,\n",
       " 'minorly': 508,\n",
       " 'cases': 509,\n",
       " 'housemates': 510,\n",
       " 'overshadow': 511,\n",
       " 'probation': 512,\n",
       " 'jarrett': 513,\n",
       " 'spinsterish': 514,\n",
       " 'hellenlotter': 515,\n",
       " 'eyewitness': 516,\n",
       " 'robocop': 517,\n",
       " 'uncompromised': 518,\n",
       " 'ongoingness': 519,\n",
       " 'ailes': 520,\n",
       " 'lira': 521,\n",
       " 'decrees': 522,\n",
       " 'tooling': 523,\n",
       " 'abydos': 524,\n",
       " 'hologram': 525,\n",
       " 'rampant': 526,\n",
       " 'rootlessness': 527,\n",
       " 'oppressively': 528,\n",
       " 'ifpi': 529,\n",
       " 'handouts': 530,\n",
       " 'interested': 531,\n",
       " 'spielmann': 532,\n",
       " 'byran': 533,\n",
       " 'ennui': 534,\n",
       " 'taryn': 535,\n",
       " 'ibsen': 536,\n",
       " 'teeny': 537,\n",
       " 'elmer': 538,\n",
       " 'unaffecting': 539,\n",
       " 'lightner': 540,\n",
       " 'fables': 541,\n",
       " 'maana': 542,\n",
       " 'lasts': 543,\n",
       " 'bathetic': 544,\n",
       " 'rogoz': 545,\n",
       " 'jacobson': 546,\n",
       " 'rene': 547,\n",
       " 'warring': 548,\n",
       " 'julien': 549,\n",
       " 'portal': 550,\n",
       " 'weighting': 551,\n",
       " 'aryaman': 552,\n",
       " 'postscript': 553,\n",
       " 'subtractions': 554,\n",
       " 'reapers': 555,\n",
       " 'carmus': 556,\n",
       " 'ubertallented': 557,\n",
       " 'propagation': 558,\n",
       " 'nook': 559,\n",
       " 'rockwell': 560,\n",
       " 'rents': 561,\n",
       " 'justwell': 562,\n",
       " 'uncreative': 563,\n",
       " 'carney': 564,\n",
       " 'idrissa': 565,\n",
       " 'marbles': 566,\n",
       " 'muni': 567,\n",
       " 'skinflint': 568,\n",
       " 'bulatovic': 569,\n",
       " 'kouzina': 570,\n",
       " 'euphemistic': 571,\n",
       " 'washi': 572,\n",
       " 'undescribably': 573,\n",
       " 'appreciatted': 574,\n",
       " 'spence': 575,\n",
       " 'piloted': 576,\n",
       " 'unremarked': 577,\n",
       " 'prejudicm': 578,\n",
       " 'stove': 579,\n",
       " 'tko': 580,\n",
       " 'nicklodeon': 581,\n",
       " 'boulder': 582,\n",
       " 'outlaws': 583,\n",
       " 'expectations': 584,\n",
       " 'diluting': 585,\n",
       " 'retching': 586,\n",
       " 'psychically': 587,\n",
       " 'according': 588,\n",
       " 'ummmm': 589,\n",
       " 'kneales': 590,\n",
       " 'mope': 591,\n",
       " 'vegan': 592,\n",
       " 'sacchi': 593,\n",
       " 'bayliss': 594,\n",
       " 'artless': 595,\n",
       " 'tans': 596,\n",
       " 'scrimping': 597,\n",
       " 'yorks': 598,\n",
       " 'higherpraise': 599,\n",
       " 'sanjay': 600,\n",
       " 'racketeering': 601,\n",
       " 'entire': 602,\n",
       " 'hypodermic': 603,\n",
       " 'samsung': 604,\n",
       " 'mutilates': 605,\n",
       " 'hellspawn': 606,\n",
       " 'shocky': 607,\n",
       " 'judders': 608,\n",
       " 'rediculous': 609,\n",
       " 'judges': 610,\n",
       " 'wyoming': 611,\n",
       " 'aplogise': 612,\n",
       " 'samways': 613,\n",
       " 'chippendale': 614,\n",
       " 'backyard': 615,\n",
       " 'everest': 616,\n",
       " 'subscribe': 617,\n",
       " 'freakishly': 618,\n",
       " 'contributers': 619,\n",
       " 'augusto': 620,\n",
       " 'nicknamed': 621,\n",
       " 'chillingly': 622,\n",
       " 'looses': 623,\n",
       " 'industrious': 624,\n",
       " 'letty': 625,\n",
       " 'mistreatment': 626,\n",
       " 'googy': 627,\n",
       " 'fishing': 628,\n",
       " 'reigned': 629,\n",
       " 'martha': 630,\n",
       " 'lunge': 631,\n",
       " 'carton': 632,\n",
       " 'verdone': 633,\n",
       " 'beiderbecke': 634,\n",
       " 'wangle': 635,\n",
       " 'adjacent': 636,\n",
       " 'bmw': 637,\n",
       " 'boys': 638,\n",
       " 'jims': 639,\n",
       " 'mew': 640,\n",
       " 'biceps': 641,\n",
       " 'drones': 642,\n",
       " 'chapters': 643,\n",
       " 'penalty': 644,\n",
       " 'hounfor': 645,\n",
       " 'aldonova': 646,\n",
       " 'happening': 647,\n",
       " 'carpets': 648,\n",
       " 'hofeus': 649,\n",
       " 'constained': 650,\n",
       " 'smitrovich': 651,\n",
       " 'worsle': 652,\n",
       " 'imperfect': 653,\n",
       " 'breeches': 654,\n",
       " 'sargent': 655,\n",
       " 'lycanthropy': 656,\n",
       " 'cyrano': 657,\n",
       " 'bibbidy': 658,\n",
       " 'borzage': 659,\n",
       " 'ethnocentric': 660,\n",
       " 'jokingly': 661,\n",
       " 'paccino': 662,\n",
       " 'deathy': 663,\n",
       " 'expel': 664,\n",
       " 'kernel': 665,\n",
       " 'kindlings': 666,\n",
       " 'arthur': 667,\n",
       " 'flashback': 668,\n",
       " 'paperclip': 669,\n",
       " 'vadepied': 670,\n",
       " 'persepolis': 671,\n",
       " 'venturer': 672,\n",
       " 'captured': 673,\n",
       " 'libya': 674,\n",
       " 'suhosky': 675,\n",
       " 'musculature': 676,\n",
       " 'prn': 677,\n",
       " 'lansbury': 678,\n",
       " 'twofold': 679,\n",
       " 'substantial': 680,\n",
       " 'hiroyuki': 681,\n",
       " 'misquoted': 682,\n",
       " 'crashes': 683,\n",
       " 'sandbagger': 684,\n",
       " 'ban': 685,\n",
       " 'eyelashes': 686,\n",
       " 'cancelled': 687,\n",
       " 'shortest': 688,\n",
       " 'roseanna': 689,\n",
       " 'ayat': 690,\n",
       " 'dane': 691,\n",
       " 'theby': 692,\n",
       " 'officious': 693,\n",
       " 'championships': 694,\n",
       " 'coplandesque': 695,\n",
       " 'circumvent': 696,\n",
       " 'scarfs': 697,\n",
       " 'refuting': 698,\n",
       " 'things': 699,\n",
       " 'fi': 700,\n",
       " 'acts': 701,\n",
       " 'stuporous': 702,\n",
       " 'hates': 703,\n",
       " 'saatchi': 704,\n",
       " 'geddis': 705,\n",
       " 'sacraments': 706,\n",
       " 'pullout': 707,\n",
       " 'belles': 708,\n",
       " 'bogged': 709,\n",
       " 'fasted': 710,\n",
       " 'spices': 711,\n",
       " 'mestressat': 712,\n",
       " 'turpin': 713,\n",
       " 'indefatigable': 714,\n",
       " 'psicoanalitical': 715,\n",
       " 'yeah': 716,\n",
       " 'unexciting': 717,\n",
       " 'ticketed': 718,\n",
       " 'fortuitous': 719,\n",
       " 'spanking': 720,\n",
       " 'bedsit': 721,\n",
       " 'henie': 722,\n",
       " 'confessional': 723,\n",
       " 'bondage': 724,\n",
       " 'poetic': 725,\n",
       " 'beliveable': 726,\n",
       " 'mcclug': 727,\n",
       " 'lutte': 728,\n",
       " 'chakraborty': 729,\n",
       " 'gunpoint': 730,\n",
       " 'tarka': 731,\n",
       " 'accusing': 732,\n",
       " 'seeber': 733,\n",
       " 'supplementary': 734,\n",
       " 'versacorps': 735,\n",
       " 'jeffersons': 736,\n",
       " 'repulsed': 737,\n",
       " 'compellingly': 738,\n",
       " 'voight': 739,\n",
       " 'gulab': 740,\n",
       " 'hickville': 741,\n",
       " 'ornaments': 742,\n",
       " 'colonialist': 743,\n",
       " 'lillete': 744,\n",
       " 'deaths': 745,\n",
       " 'swanberg': 746,\n",
       " 'kalser': 747,\n",
       " 'copters': 748,\n",
       " 'hydra': 749,\n",
       " 'ferrio': 750,\n",
       " 'vampyros': 751,\n",
       " 'voodooism': 752,\n",
       " 'weekly': 753,\n",
       " 'jeepers': 754,\n",
       " 'sariana': 755,\n",
       " 'adreno': 756,\n",
       " 'pendant': 757,\n",
       " 'beavis': 758,\n",
       " 'ensweatered': 759,\n",
       " 'knotting': 760,\n",
       " 'crimes': 761,\n",
       " 'magnetic': 762,\n",
       " 'discards': 763,\n",
       " 'prefigures': 764,\n",
       " 'pause': 765,\n",
       " 'raph': 766,\n",
       " 'snchez': 767,\n",
       " 'uxb': 768,\n",
       " 'dawsons': 769,\n",
       " 'frollo': 770,\n",
       " 'minimalist': 771,\n",
       " 'logand': 772,\n",
       " 'institute': 773,\n",
       " 'enlivens': 774,\n",
       " 'anakin': 775,\n",
       " 'treasure': 776,\n",
       " 'paige': 777,\n",
       " 'demy': 778,\n",
       " 'diss': 779,\n",
       " 'lowlife': 780,\n",
       " 'heroics': 781,\n",
       " 'outshone': 782,\n",
       " 'saviors': 783,\n",
       " 'entranced': 784,\n",
       " 'dolphy': 785,\n",
       " 'legit': 786,\n",
       " 'arkadin': 787,\n",
       " 'shefali': 788,\n",
       " 'katyn': 789,\n",
       " 'opting': 790,\n",
       " 'gorgeously': 791,\n",
       " 'abashidze': 792,\n",
       " 'everythings': 793,\n",
       " 'mccaffrey': 794,\n",
       " 'blood': 795,\n",
       " 'ibragimbekov': 796,\n",
       " 'muddles': 797,\n",
       " 'mendoza': 798,\n",
       " 'futurescape': 799,\n",
       " 'antoinette': 800,\n",
       " 'freelancing': 801,\n",
       " 'balloon': 802,\n",
       " 'nominations': 803,\n",
       " 'farris': 804,\n",
       " 'drone': 805,\n",
       " 'vulcans': 806,\n",
       " 'carolinas': 807,\n",
       " 'kevin': 808,\n",
       " 'confusedly': 809,\n",
       " 'zeman': 810,\n",
       " 'biased': 811,\n",
       " 'maintaining': 812,\n",
       " 'cinefest': 813,\n",
       " 'traitorous': 814,\n",
       " 'competitive': 815,\n",
       " 'cliffhanging': 816,\n",
       " 'liszt': 817,\n",
       " 'curitz': 818,\n",
       " 'indelicate': 819,\n",
       " 'darkangel': 820,\n",
       " 'checked': 821,\n",
       " 'kurasowa': 822,\n",
       " 'sorrier': 823,\n",
       " 'drule': 824,\n",
       " 'granting': 825,\n",
       " 'windy': 826,\n",
       " 'finlay': 827,\n",
       " 'thieriot': 828,\n",
       " 'foxworth': 829,\n",
       " 'adds': 830,\n",
       " 'epics': 831,\n",
       " 'freebie': 832,\n",
       " 'sofaer': 833,\n",
       " 'undertaking': 834,\n",
       " 'communicated': 835,\n",
       " 'ackroyd': 836,\n",
       " 'mitchel': 837,\n",
       " 'wreckage': 838,\n",
       " 'vicariously': 839,\n",
       " 'journo': 840,\n",
       " 'bissonnette': 841,\n",
       " 'woooooosaaaaaah': 842,\n",
       " 'competent': 843,\n",
       " 'underline': 844,\n",
       " 'flicker': 845,\n",
       " 'ridgemont': 846,\n",
       " 'gambas': 847,\n",
       " 'lajjo': 848,\n",
       " 'robbed': 849,\n",
       " 'sagacity': 850,\n",
       " 'leaking': 851,\n",
       " 'cariboo': 852,\n",
       " 'bradbury': 853,\n",
       " 'persons': 854,\n",
       " 'finacee': 855,\n",
       " 'boleyn': 856,\n",
       " 'fc': 857,\n",
       " 'unjaded': 858,\n",
       " 'twomarlowe': 859,\n",
       " 'smothering': 860,\n",
       " 'considerable': 861,\n",
       " 'indecent': 862,\n",
       " 'devils': 863,\n",
       " 'grandstand': 864,\n",
       " 'renji': 865,\n",
       " 'dictators': 866,\n",
       " 'deadhead': 867,\n",
       " 'interned': 868,\n",
       " 'breadwinner': 869,\n",
       " 'faaar': 870,\n",
       " 'grce': 871,\n",
       " 'woodgrain': 872,\n",
       " 'laying': 873,\n",
       " 'enigmatically': 874,\n",
       " 'becoems': 875,\n",
       " 'imom': 876,\n",
       " 'unfavorably': 877,\n",
       " 'consistently': 878,\n",
       " 'atheist': 879,\n",
       " 'visit': 880,\n",
       " 'perishable': 881,\n",
       " 'clotheslining': 882,\n",
       " 'nighttime': 883,\n",
       " 'caster': 884,\n",
       " 'satchwell': 885,\n",
       " 'chan': 886,\n",
       " 'ewers': 887,\n",
       " 'conspiracists': 888,\n",
       " 'lusts': 889,\n",
       " 'hitoshi': 890,\n",
       " 'irresistible': 891,\n",
       " 'daneille': 892,\n",
       " 'volcano': 893,\n",
       " 'gregor': 894,\n",
       " 'golfers': 895,\n",
       " 'next': 896,\n",
       " 'exaggerated': 897,\n",
       " 'achero': 898,\n",
       " 'popeil': 899,\n",
       " 'urineing': 900,\n",
       " 'suggesting': 901,\n",
       " 'chojnacki': 902,\n",
       " 'redeemable': 903,\n",
       " 'khandi': 904,\n",
       " 'gigantically': 905,\n",
       " 'wildcats': 906,\n",
       " 'ronny': 907,\n",
       " 'portions': 908,\n",
       " 'addy': 909,\n",
       " 'torrance': 910,\n",
       " 'blaming': 911,\n",
       " 'premee': 912,\n",
       " 'perspiration': 913,\n",
       " 'dickian': 914,\n",
       " 'ploughing': 915,\n",
       " 'teleprompter': 916,\n",
       " 'promting': 917,\n",
       " 'roost': 918,\n",
       " 'waddell': 919,\n",
       " 'rejects': 920,\n",
       " 'roby': 921,\n",
       " 'semitic': 922,\n",
       " 'suknani': 923,\n",
       " 'policeschool': 924,\n",
       " 'freeman': 925,\n",
       " 'societal': 926,\n",
       " 'decline': 927,\n",
       " 'bates': 928,\n",
       " 'balta': 929,\n",
       " 'barbies': 930,\n",
       " 'pumb': 931,\n",
       " 'rumoured': 932,\n",
       " 'timeso': 933,\n",
       " 'toms': 934,\n",
       " 'dodges': 935,\n",
       " 'lazarous': 936,\n",
       " 'were': 937,\n",
       " 'exec': 938,\n",
       " 'digitally': 939,\n",
       " 'phillistines': 940,\n",
       " 'favorable': 941,\n",
       " 'tsai': 942,\n",
       " 'squeel': 943,\n",
       " 'entrapping': 944,\n",
       " 'sated': 945,\n",
       " 'johanson': 946,\n",
       " 'flashbacked': 947,\n",
       " 'penetrating': 948,\n",
       " 'bathhouses': 949,\n",
       " 'neighbours': 950,\n",
       " 'chambers': 951,\n",
       " 'ryuhei': 952,\n",
       " 'tuna': 953,\n",
       " 'aaww': 954,\n",
       " 'miserly': 955,\n",
       " 'catharses': 956,\n",
       " 'bolla': 957,\n",
       " 'reds': 958,\n",
       " 'hoodlums': 959,\n",
       " 'vam': 960,\n",
       " 'thunderstorm': 961,\n",
       " 'bombshell': 962,\n",
       " 'roeper': 963,\n",
       " 'streneously': 964,\n",
       " 'contractual': 965,\n",
       " 'potosi': 966,\n",
       " 'truax': 967,\n",
       " 'namak': 968,\n",
       " 'popularist': 969,\n",
       " 'reconcilable': 970,\n",
       " 'irks': 971,\n",
       " 'cgs': 972,\n",
       " 'halting': 973,\n",
       " 'saintliness': 974,\n",
       " 'vince': 975,\n",
       " 'soiling': 976,\n",
       " 'bleibtreu': 977,\n",
       " 'simmon': 978,\n",
       " 'wyllie': 979,\n",
       " 'alaskan': 980,\n",
       " 'bee': 981,\n",
       " 'codec': 982,\n",
       " 'rackets': 983,\n",
       " 'half': 984,\n",
       " 'haavard': 985,\n",
       " 'corncob': 986,\n",
       " 'evildoers': 987,\n",
       " 'equality': 988,\n",
       " 'ringing': 989,\n",
       " 'share': 990,\n",
       " 'psychodrama': 991,\n",
       " 'hearen': 992,\n",
       " 'repertoire': 993,\n",
       " 'bushes': 994,\n",
       " 'unrivalled': 995,\n",
       " 'mishandle': 996,\n",
       " 'nielson': 997,\n",
       " 'unabashed': 998,\n",
       " 'industrial': 999,\n",
       " ...}"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word2index = {}\n",
    "\n",
    "for i,word in enumerate(vocab):\n",
    "    word2index[word] = i\n",
    "word2index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def update_input_layer(review):\n",
    "    \n",
    "    global layer_0\n",
    "    \n",
    "    # clear out previous state, reset the layer to be all 0s\n",
    "    layer_0 *= 0\n",
    "    for word in review.split(\" \"):\n",
    "        layer_0[0][word2index[word]] += 1\n",
    "\n",
    "update_input_layer(reviews[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 18.,   0.,   0., ...,   0.,   0.,   0.]])"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layer_0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_target_for_label(label):\n",
    "    if(label == 'POSITIVE'):\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'POSITIVE'"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_target_for_label(labels[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'NEGATIVE'"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_target_for_label(labels[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project 3: Building a Neural Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "- Start with your neural network from the last chapter\n",
    "- 3 layer neural network\n",
    "- no non-linearity in hidden layer\n",
    "- use our functions to create the training data\n",
    "- create a \"pre_process_data\" function to create vocabulary for our training data generating functions\n",
    "- modify \"train\" to train over the entire corpus"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Where to Get Help if You Need it\n",
    "- Re-watch previous week's Udacity Lectures\n",
    "- Chapters 3-5 - [Grokking Deep Learning](https://www.manning.com/books/grokking-deep-learning) - (40% Off: **traskud17**)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time\n",
    "import sys\n",
    "import numpy as np\n",
    "\n",
    "# Let's tweak our network from before to model these phenomena\n",
    "class SentimentNetwork:\n",
    "    def __init__(self, reviews,labels,hidden_nodes = 10, learning_rate = 0.1):\n",
    "       \n",
    "        # set our random number generator \n",
    "        np.random.seed(1)\n",
    "    \n",
    "        self.pre_process_data(reviews, labels)\n",
    "        \n",
    "        self.init_network(len(self.review_vocab),hidden_nodes, 1, learning_rate)\n",
    "        \n",
    "        \n",
    "    def pre_process_data(self, reviews, labels):\n",
    "        \n",
    "        review_vocab = set()\n",
    "        for review in reviews:\n",
    "            for word in review.split(\" \"):\n",
    "                review_vocab.add(word)\n",
    "        self.review_vocab = list(review_vocab)\n",
    "        \n",
    "        label_vocab = set()\n",
    "        for label in labels:\n",
    "            label_vocab.add(label)\n",
    "        \n",
    "        self.label_vocab = list(label_vocab)\n",
    "        \n",
    "        self.review_vocab_size = len(self.review_vocab)\n",
    "        self.label_vocab_size = len(self.label_vocab)\n",
    "        \n",
    "        self.word2index = {}\n",
    "        for i, word in enumerate(self.review_vocab):\n",
    "            self.word2index[word] = i\n",
    "        \n",
    "        self.label2index = {}\n",
    "        for i, label in enumerate(self.label_vocab):\n",
    "            self.label2index[label] = i\n",
    "         \n",
    "        \n",
    "    def init_network(self, input_nodes, hidden_nodes, output_nodes, learning_rate):\n",
    "        # Set number of nodes in input, hidden and output layers.\n",
    "        self.input_nodes = input_nodes\n",
    "        self.hidden_nodes = hidden_nodes\n",
    "        self.output_nodes = output_nodes\n",
    "\n",
    "        # Initialize weights\n",
    "        self.weights_0_1 = np.zeros((self.input_nodes,self.hidden_nodes))\n",
    "    \n",
    "        self.weights_1_2 = np.random.normal(0.0, self.output_nodes**-0.5, \n",
    "                                                (self.hidden_nodes, self.output_nodes))\n",
    "        \n",
    "        self.learning_rate = learning_rate\n",
    "        \n",
    "        self.layer_0 = np.zeros((1,input_nodes))\n",
    "    \n",
    "        \n",
    "    def update_input_layer(self,review):\n",
    "\n",
    "        # clear out previous state, reset the layer to be all 0s\n",
    "        self.layer_0 *= 0\n",
    "        for word in review.split(\" \"):\n",
    "            if(word in self.word2index.keys()):\n",
    "                self.layer_0[0][self.word2index[word]] += 1\n",
    "                \n",
    "    def get_target_for_label(self,label):\n",
    "        if(label == 'POSITIVE'):\n",
    "            return 1\n",
    "        else:\n",
    "            return 0\n",
    "        \n",
    "    def sigmoid(self,x):\n",
    "        return 1 / (1 + np.exp(-x))\n",
    "    \n",
    "    \n",
    "    def sigmoid_output_2_derivative(self,output):\n",
    "        return output * (1 - output)\n",
    "    \n",
    "    def train(self, training_reviews, training_labels):\n",
    "        \n",
    "        assert(len(training_reviews) == len(training_labels))\n",
    "        \n",
    "        correct_so_far = 0\n",
    "        \n",
    "        start = time.time()\n",
    "        \n",
    "        for i in range(len(training_reviews)):\n",
    "            \n",
    "            review = training_reviews[i]\n",
    "            label = training_labels[i]\n",
    "            \n",
    "            #### Implement the forward pass here ####\n",
    "            ### Forward pass ###\n",
    "\n",
    "            # Input Layer\n",
    "            self.update_input_layer(review)\n",
    "\n",
    "            # Hidden layer\n",
    "            layer_1 = self.layer_0.dot(self.weights_0_1)\n",
    "\n",
    "            # Output layer\n",
    "            layer_2 = self.sigmoid(layer_1.dot(self.weights_1_2))\n",
    "\n",
    "            #### Implement the backward pass here ####\n",
    "            ### Backward pass ###\n",
    "\n",
    "            # TODO: Output error\n",
    "            layer_2_error = layer_2 - self.get_target_for_label(label) # Output layer error is the difference between desired target and actual output.\n",
    "            layer_2_delta = layer_2_error * self.sigmoid_output_2_derivative(layer_2)\n",
    "\n",
    "            # TODO: Backpropagated error\n",
    "            layer_1_error = layer_2_delta.dot(self.weights_1_2.T) # errors propagated to the hidden layer\n",
    "            layer_1_delta = layer_1_error # hidden layer gradients - no nonlinearity so it's the same as the error\n",
    "\n",
    "            # TODO: Update the weights\n",
    "            self.weights_1_2 -= layer_1.T.dot(layer_2_delta) * self.learning_rate # update hidden-to-output weights with gradient descent step\n",
    "            self.weights_0_1 -= self.layer_0.T.dot(layer_1_delta) * self.learning_rate # update input-to-hidden weights with gradient descent step\n",
    "\n",
    "            if(np.abs(layer_2_error) < 0.5):\n",
    "                correct_so_far += 1\n",
    "            \n",
    "            reviews_per_second = i / float(time.time() - start)\n",
    "            \n",
    "            sys.stdout.write(\"\\rProgress:\" + str(100 * i/float(len(training_reviews)))[:4] + \"% Speed(reviews/sec):\" + str(reviews_per_second)[0:5] + \" #Correct:\" + str(correct_so_far) + \" #Trained:\" + str(i+1) + \" Training Accuracy:\" + str(correct_so_far * 100 / float(i+1))[:4] + \"%\")\n",
    "            if(i % 2500 == 0):\n",
    "                print(\"\")\n",
    "    \n",
    "    def test(self, testing_reviews, testing_labels):\n",
    "        \n",
    "        correct = 0\n",
    "        \n",
    "        start = time.time()\n",
    "        \n",
    "        for i in range(len(testing_reviews)):\n",
    "            pred = self.run(testing_reviews[i])\n",
    "            if(pred == testing_labels[i]):\n",
    "                correct += 1\n",
    "            \n",
    "            reviews_per_second = i / float(time.time() - start)\n",
    "            \n",
    "            sys.stdout.write(\"\\rProgress:\" + str(100 * i/float(len(testing_reviews)))[:4] \\\n",
    "                             + \"% Speed(reviews/sec):\" + str(reviews_per_second)[0:5] \\\n",
    "                            + \"% #Correct:\" + str(correct) + \" #Tested:\" + str(i+1) + \" Testing Accuracy:\" + str(correct * 100 / float(i+1))[:4] + \"%\")\n",
    "    \n",
    "    def run(self, review):\n",
    "        \n",
    "        # Input Layer\n",
    "        self.update_input_layer(review.lower())\n",
    "\n",
    "        # Hidden layer\n",
    "        layer_1 = self.layer_0.dot(self.weights_0_1)\n",
    "\n",
    "        # Output layer\n",
    "        layer_2 = self.sigmoid(layer_1.dot(self.weights_1_2))\n",
    "        \n",
    "        if(layer_2[0] > 0.5):\n",
    "            return \"POSITIVE\"\n",
    "        else:\n",
    "            return \"NEGATIVE\"\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mlp = SentimentNetwork(reviews[:-1000],labels[:-1000], learning_rate=0.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Progress:99.9% Speed(reviews/sec):657.4% #Correct:500 #Tested:1000 Testing Accuracy:50.0%"
     ]
    }
   ],
   "source": [
    "#Eval model before training (Just to know hwo bad it is)\n",
    "mlp.test(reviews[-1000:], labels[-1000:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Progress:0.0% Speed(reviews/sec):0.0 #Correct:0 #Trained:1 Training Accuracy:0.0%\n",
      "Progress:10.4% Speed(reviews/sec):239.3 #Correct:1250 #Trained:2501 Training Accuracy:49.9%\n",
      "Progress:20.8% Speed(reviews/sec):232.2 #Correct:2500 #Trained:5001 Training Accuracy:49.9%\n",
      "Progress:31.2% Speed(reviews/sec):231.0 #Correct:3750 #Trained:7501 Training Accuracy:49.9%\n",
      "Progress:41.6% Speed(reviews/sec):231.2 #Correct:5000 #Trained:10001 Training Accuracy:49.9%\n",
      "Progress:52.0% Speed(reviews/sec):228.9 #Correct:6250 #Trained:12501 Training Accuracy:49.9%\n",
      "Progress:62.5% Speed(reviews/sec):226.0 #Correct:7500 #Trained:15001 Training Accuracy:49.9%\n",
      "Progress:72.9% Speed(reviews/sec):227.8 #Correct:8750 #Trained:17501 Training Accuracy:49.9%\n",
      "Progress:83.3% Speed(reviews/sec):227.6 #Correct:10000 #Trained:20001 Training Accuracy:49.9%\n",
      "Progress:93.7% Speed(reviews/sec):226.1 #Correct:11250 #Trained:22501 Training Accuracy:49.9%\n",
      "Progress:99.9% Speed(reviews/sec):225.4 #Correct:11999 #Trained:24000 Training Accuracy:49.9%"
     ]
    }
   ],
   "source": [
    "#train network\n",
    "mlp.train(reviews[:-1000], labels[:-1000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Video Project 4 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time\n",
    "import sys\n",
    "import numpy as np\n",
    "\n",
    "# Let's tweak our network from before to model these phenomena\n",
    "class SentimentNetwork:\n",
    "    def __init__(self, reviews,labels,hidden_nodes = 10, learning_rate = 0.1):\n",
    "       \n",
    "        # set our random number generator \n",
    "        np.random.seed(1)\n",
    "    \n",
    "        self.pre_process_data(reviews, labels)\n",
    "        \n",
    "        self.init_network(len(self.review_vocab),hidden_nodes, 1, learning_rate)\n",
    "        \n",
    "        \n",
    "    def pre_process_data(self, reviews, labels):\n",
    "        \n",
    "        review_vocab = set()\n",
    "        for review in reviews:\n",
    "            for word in review.split(\" \"):\n",
    "                review_vocab.add(word)\n",
    "        self.review_vocab = list(review_vocab)\n",
    "        \n",
    "        label_vocab = set()\n",
    "        for label in labels:\n",
    "            label_vocab.add(label)\n",
    "        \n",
    "        self.label_vocab = list(label_vocab)\n",
    "        \n",
    "        self.review_vocab_size = len(self.review_vocab)\n",
    "        self.label_vocab_size = len(self.label_vocab)\n",
    "        \n",
    "        self.word2index = {}\n",
    "        for i, word in enumerate(self.review_vocab):\n",
    "            self.word2index[word] = i\n",
    "        \n",
    "        self.label2index = {}\n",
    "        for i, label in enumerate(self.label_vocab):\n",
    "            self.label2index[label] = i\n",
    "         \n",
    "        \n",
    "    def init_network(self, input_nodes, hidden_nodes, output_nodes, learning_rate):\n",
    "        # Set number of nodes in input, hidden and output layers.\n",
    "        self.input_nodes = input_nodes\n",
    "        self.hidden_nodes = hidden_nodes\n",
    "        self.output_nodes = output_nodes\n",
    "\n",
    "        # Initialize weights\n",
    "        self.weights_0_1 = np.zeros((self.input_nodes,self.hidden_nodes))\n",
    "    \n",
    "        self.weights_1_2 = np.random.normal(0.0, self.output_nodes**-0.5, \n",
    "                                                (self.hidden_nodes, self.output_nodes))\n",
    "        \n",
    "        self.learning_rate = learning_rate\n",
    "        \n",
    "        self.layer_0 = np.zeros((1,input_nodes))\n",
    "    \n",
    "        \n",
    "    def update_input_layer(self,review):\n",
    "\n",
    "        # clear out previous state, reset the layer to be all 0s\n",
    "        self.layer_0 *= 0\n",
    "        for word in review.split(\" \"):\n",
    "            if(word in self.word2index.keys()):\n",
    "                #Changing below value to not increment but rather assign 0.\n",
    "                #This way our inputs will represent 1 or 0 which will \n",
    "                #Sift through the noise much better and not allow characters\n",
    "                #like space, period, etc highly skew the training\n",
    "                self.layer_0[0][self.word2index[word]] = 1\n",
    "                \n",
    "    def get_target_for_label(self,label):\n",
    "        if(label == 'POSITIVE'):\n",
    "            return 1\n",
    "        else:\n",
    "            return 0\n",
    "        \n",
    "    def sigmoid(self,x):\n",
    "        return 1 / (1 + np.exp(-x))\n",
    "    \n",
    "    \n",
    "    def sigmoid_output_2_derivative(self,output):\n",
    "        return output * (1 - output)\n",
    "    \n",
    "    def train(self, training_reviews, training_labels):\n",
    "        \n",
    "        assert(len(training_reviews) == len(training_labels))\n",
    "        \n",
    "        correct_so_far = 0\n",
    "        \n",
    "        start = time.time()\n",
    "        \n",
    "        for i in range(len(training_reviews)):\n",
    "            \n",
    "            review = training_reviews[i]\n",
    "            label = training_labels[i]\n",
    "            \n",
    "            #### Implement the forward pass here ####\n",
    "            ### Forward pass ###\n",
    "\n",
    "            # Input Layer\n",
    "            self.update_input_layer(review)\n",
    "\n",
    "            # Hidden layer\n",
    "            layer_1 = self.layer_0.dot(self.weights_0_1)\n",
    "\n",
    "            # Output layer\n",
    "            layer_2 = self.sigmoid(layer_1.dot(self.weights_1_2))\n",
    "\n",
    "            #### Implement the backward pass here ####\n",
    "            ### Backward pass ###\n",
    "\n",
    "            # TODO: Output error\n",
    "            layer_2_error = layer_2 - self.get_target_for_label(label) # Output layer error is the difference between desired target and actual output.\n",
    "            layer_2_delta = layer_2_error * self.sigmoid_output_2_derivative(layer_2)\n",
    "\n",
    "            # TODO: Backpropagated error\n",
    "            layer_1_error = layer_2_delta.dot(self.weights_1_2.T) # errors propagated to the hidden layer\n",
    "            layer_1_delta = layer_1_error # hidden layer gradients - no nonlinearity so it's the same as the error\n",
    "\n",
    "            # TODO: Update the weights\n",
    "            self.weights_1_2 -= layer_1.T.dot(layer_2_delta) * self.learning_rate # update hidden-to-output weights with gradient descent step\n",
    "            self.weights_0_1 -= self.layer_0.T.dot(layer_1_delta) * self.learning_rate # update input-to-hidden weights with gradient descent step\n",
    "\n",
    "            if(np.abs(layer_2_error) < 0.5):\n",
    "                correct_so_far += 1\n",
    "            \n",
    "            reviews_per_second = i / float(time.time() - start)\n",
    "            \n",
    "            sys.stdout.write(\"\\rProgress:\" + str(100 * i/float(len(training_reviews)))[:4] + \"% Speed(reviews/sec):\" + str(reviews_per_second)[0:5] + \" #Correct:\" + str(correct_so_far) + \" #Trained:\" + str(i+1) + \" Training Accuracy:\" + str(correct_so_far * 100 / float(i+1))[:4] + \"%\")\n",
    "            if(i % 2500 == 0):\n",
    "                print(\"\")\n",
    "    \n",
    "    def test(self, testing_reviews, testing_labels):\n",
    "        \n",
    "        correct = 0\n",
    "        \n",
    "        start = time.time()\n",
    "        \n",
    "        for i in range(len(testing_reviews)):\n",
    "            pred = self.run(testing_reviews[i])\n",
    "            if(pred == testing_labels[i]):\n",
    "                correct += 1\n",
    "            \n",
    "            reviews_per_second = i / float(time.time() - start)\n",
    "            \n",
    "            sys.stdout.write(\"\\rProgress:\" + str(100 * i/float(len(testing_reviews)))[:4] \\\n",
    "                             + \"% Speed(reviews/sec):\" + str(reviews_per_second)[0:5] \\\n",
    "                            + \"% #Correct:\" + str(correct) + \" #Tested:\" + str(i+1) + \" Testing Accuracy:\" + str(correct * 100 / float(i+1))[:4] + \"%\")\n",
    "    \n",
    "    def run(self, review):\n",
    "        \n",
    "        # Input Layer\n",
    "        self.update_input_layer(review.lower())\n",
    "\n",
    "        # Hidden layer\n",
    "        layer_1 = self.layer_0.dot(self.weights_0_1)\n",
    "\n",
    "        # Output layer\n",
    "        layer_2 = self.sigmoid(layer_1.dot(self.weights_1_2))\n",
    "        \n",
    "        if(layer_2[0] > 0.5):\n",
    "            return \"POSITIVE\"\n",
    "        else:\n",
    "            return \"NEGATIVE\"\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mlp = SentimentNetwork(reviews[:-1000],labels[:-1000], learning_rate=0.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Progress:0.0% Speed(reviews/sec):0.0 #Correct:0 #Trained:1 Training Accuracy:0.0%\n",
      "Progress:10.4% Speed(reviews/sec):182.3 #Correct:1940 #Trained:2501 Training Accuracy:77.5%\n",
      "Progress:20.8% Speed(reviews/sec):179.7 #Correct:3987 #Trained:5001 Training Accuracy:79.7%\n",
      "Progress:31.2% Speed(reviews/sec):174.5 #Correct:6085 #Trained:7501 Training Accuracy:81.1%\n",
      "Progress:41.6% Speed(reviews/sec):172.8 #Correct:8204 #Trained:10001 Training Accuracy:82.0%\n",
      "Progress:52.0% Speed(reviews/sec):171.3 #Correct:10337 #Trained:12501 Training Accuracy:82.6%\n",
      "Progress:62.5% Speed(reviews/sec):172.1 #Correct:12423 #Trained:15001 Training Accuracy:82.8%\n",
      "Progress:72.9% Speed(reviews/sec):172.8 #Correct:14524 #Trained:17501 Training Accuracy:82.9%\n",
      "Progress:83.3% Speed(reviews/sec):173.1 #Correct:16697 #Trained:20001 Training Accuracy:83.4%\n",
      "Progress:93.7% Speed(reviews/sec):173.6 #Correct:18856 #Trained:22501 Training Accuracy:83.8%\n",
      "Progress:99.9% Speed(reviews/sec):173.6 #Correct:20172 #Trained:24000 Training Accuracy:84.0%"
     ]
    }
   ],
   "source": [
    "mlp.train(reviews[:-1000], labels[:-1000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}