# Sentiment Classification & How To "Frame Problems" for a Neural Network

### What You Should Already Know

• neural networks, forward and back-propagation
• mean squared error
• and train/test splits

### Where to Get Help if You Need it

• Re-watch previous Udacity Lectures
• Leverage the recommended Course Reading Material - Grokking Deep Learning (40% Off: traskud17)
• Shoot me a tweet @iamtrask

### Tutorial Outline:

• Intro: The Importance of "Framing a Problem"
• Curate a Dataset
• Developing a "Predictive Theory"
• PROJECT 1: Quick Theory Validation
• Transforming Text to Numbers
• PROJECT 2: Creating the Input/Output Data
• Putting it all together in a Neural Network
• PROJECT 3: Building our Neural Network
• Understanding Neural Noise
• PROJECT 4: Making Learning Faster by Reducing Noise
• Analyzing Inefficiencies in our Network
• PROJECT 5: Making our Network Train and Run Faster
• Further Noise Reduction
• PROJECT 6: Reducing Noise by Strategically Reducing the Vocabulary
• Analysis: What's going on in the weights?

# Lesson: Curate a Dataset

``````

In [1]:

def pretty_print_review_and_label(i):
print(labels[i] + "\t:\t" + reviews[i][:80] + "...")

g = open('reviews.txt','r') # What we know!
g.close()

g = open('labels.txt','r') # What we WANT to know!
g.close()

``````
``````

In [2]:

len(reviews)

``````
``````

Out[2]:

25000

``````
``````

In [3]:

reviews[0]

``````
``````

Out[3]:

'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   '

``````
``````

In [5]:

labels[0]

``````
``````

Out[5]:

'POSITIVE'

``````

# Lesson: Develop a Predictive Theory

``````

In [6]:

print("labels.txt \t : \t reviews.txt\n")
pretty_print_review_and_label(2137)
pretty_print_review_and_label(12816)
pretty_print_review_and_label(6267)
pretty_print_review_and_label(21934)
pretty_print_review_and_label(5297)
pretty_print_review_and_label(4998)

``````
``````

labels.txt 	 : 	 reviews.txt

NEGATIVE	:	this movie is terrible but it has some good effects .  ...
POSITIVE	:	adrian pasdar is excellent is this film . he makes a fascinating woman .  ...
NEGATIVE	:	comment this movie is impossible . is terrible  very improbable  bad interpretat...
POSITIVE	:	excellent episode movie ala pulp fiction .  days   suicides . it doesnt get more...
NEGATIVE	:	if you haven  t seen this  it  s terrible . it is pure trash . i saw this about ...
POSITIVE	:	this schiffer guy is a real genius  the movie is of excellent quality and both e...

``````

# Project 1: Quick Theory Validation

``````

In [7]:

from collections import Counter
import numpy as np

``````
``````

In [8]:

positive_counts = Counter()
negative_counts = Counter()
total_counts = Counter()

``````
``````

In [9]:

for i in range(len(reviews)):
if(labels[i] == 'POSITIVE'):
for word in reviews[i].split(" "):
positive_counts[word] += 1
total_counts[word] += 1
else:
for word in reviews[i].split(" "):
negative_counts[word] += 1
total_counts[word] += 1

``````
``````

In [10]:

positive_counts.most_common()

``````
``````

Out[10]:

[('', 550468),
('the', 173324),
('.', 159654),
('and', 89722),
('a', 83688),
('of', 76855),
('to', 66746),
('is', 57245),
('in', 50215),
('br', 49235),
('it', 48025),
('i', 40743),
('that', 35630),
('this', 35080),
('s', 33815),
('as', 26308),
('with', 23247),
('for', 22416),
('was', 21917),
('film', 20937),
('but', 20822),
('movie', 19074),
('his', 17227),
('on', 17008),
('you', 16681),
('he', 16282),
('are', 14807),
('not', 14272),
('t', 13720),
('one', 13655),
('have', 12587),
('be', 12416),
('by', 11997),
('all', 11942),
('who', 11464),
('an', 11294),
('at', 11234),
('from', 10767),
('her', 10474),
('they', 9895),
('has', 9186),
('so', 9154),
('like', 9038),
('very', 8305),
('out', 8134),
('there', 8057),
('she', 7779),
('what', 7737),
('or', 7732),
('good', 7720),
('more', 7521),
('when', 7456),
('some', 7441),
('if', 7285),
('just', 7152),
('can', 7001),
('story', 6780),
('time', 6515),
('my', 6488),
('great', 6419),
('well', 6405),
('up', 6321),
('which', 6267),
('their', 6107),
('see', 6026),
('also', 5550),
('we', 5531),
('really', 5476),
('would', 5400),
('will', 5218),
('me', 5167),
('only', 5137),
('him', 5018),
('even', 4964),
('most', 4864),
('other', 4858),
('were', 4782),
('first', 4755),
('than', 4736),
('much', 4685),
('its', 4622),
('no', 4574),
('into', 4544),
('people', 4479),
('best', 4319),
('love', 4301),
('get', 4272),
('how', 4213),
('life', 4199),
('been', 4189),
('because', 4079),
('way', 4036),
('do', 3941),
('films', 3813),
('them', 3805),
('after', 3800),
('many', 3766),
('two', 3733),
('too', 3659),
('think', 3655),
('movies', 3586),
('characters', 3560),
('character', 3514),
('don', 3468),
('man', 3460),
('show', 3432),
('watch', 3424),
('seen', 3414),
('then', 3358),
('little', 3341),
('still', 3340),
('make', 3303),
('could', 3237),
('never', 3226),
('being', 3217),
('where', 3173),
('does', 3069),
('over', 3017),
('any', 3002),
('while', 2899),
('know', 2833),
('did', 2790),
('years', 2758),
('here', 2740),
('ever', 2734),
('end', 2696),
('these', 2694),
('such', 2590),
('real', 2568),
('scene', 2567),
('back', 2547),
('those', 2485),
('though', 2475),
('off', 2463),
('new', 2458),
('your', 2453),
('go', 2440),
('acting', 2437),
('plot', 2432),
('world', 2429),
('scenes', 2427),
('say', 2414),
('through', 2409),
('makes', 2390),
('better', 2381),
('now', 2368),
('work', 2346),
('young', 2343),
('old', 2311),
('ve', 2307),
('find', 2272),
('both', 2248),
('before', 2177),
('us', 2162),
('again', 2158),
('series', 2153),
('quite', 2143),
('something', 2135),
('cast', 2133),
('should', 2121),
('part', 2098),
('always', 2088),
('lot', 2087),
('another', 2075),
('actors', 2047),
('director', 2040),
('family', 2032),
('between', 2016),
('own', 2016),
('m', 1998),
('may', 1997),
('same', 1972),
('role', 1967),
('watching', 1966),
('every', 1954),
('funny', 1953),
('doesn', 1935),
('performance', 1928),
('few', 1918),
('look', 1900),
('re', 1884),
('why', 1855),
('things', 1849),
('times', 1832),
('big', 1815),
('however', 1795),
('actually', 1790),
('action', 1789),
('going', 1783),
('bit', 1757),
('comedy', 1742),
('down', 1740),
('music', 1738),
('must', 1728),
('take', 1709),
('saw', 1692),
('long', 1690),
('right', 1688),
('fun', 1686),
('fact', 1684),
('excellent', 1683),
('around', 1674),
('didn', 1672),
('without', 1671),
('thing', 1662),
('thought', 1639),
('got', 1635),
('each', 1630),
('day', 1614),
('feel', 1597),
('seems', 1596),
('come', 1594),
('done', 1586),
('beautiful', 1580),
('especially', 1572),
('played', 1571),
('almost', 1566),
('want', 1562),
('yet', 1556),
('give', 1553),
('pretty', 1549),
('last', 1543),
('since', 1519),
('different', 1504),
('although', 1501),
('gets', 1490),
('true', 1487),
('interesting', 1481),
('job', 1470),
('enough', 1455),
('our', 1454),
('shows', 1447),
('horror', 1441),
('woman', 1439),
('tv', 1400),
('probably', 1398),
('father', 1395),
('original', 1393),
('girl', 1390),
('point', 1379),
('plays', 1378),
('wonderful', 1372),
('far', 1358),
('course', 1358),
('john', 1350),
('rather', 1340),
('isn', 1328),
('ll', 1326),
('later', 1324),
('dvd', 1324),
('whole', 1310),
('war', 1310),
('d', 1307),
('found', 1306),
('away', 1306),
('screen', 1305),
('nothing', 1300),
('year', 1297),
('once', 1296),
('hard', 1294),
('together', 1280),
('set', 1277),
('am', 1277),
('having', 1266),
('making', 1265),
('place', 1263),
('might', 1260),
('comes', 1260),
('sure', 1253),
('american', 1248),
('play', 1245),
('kind', 1244),
('perfect', 1242),
('takes', 1242),
('performances', 1237),
('himself', 1230),
('worth', 1221),
('everyone', 1221),
('anyone', 1214),
('actor', 1203),
('three', 1201),
('wife', 1196),
('classic', 1192),
('goes', 1186),
('ending', 1178),
('version', 1168),
('star', 1149),
('enjoy', 1146),
('book', 1142),
('nice', 1132),
('everything', 1128),
('during', 1124),
('put', 1118),
('seeing', 1111),
('least', 1102),
('house', 1100),
('high', 1095),
('watched', 1094),
('loved', 1087),
('men', 1087),
('night', 1082),
('anything', 1075),
('believe', 1071),
('guy', 1071),
('top', 1063),
('amazing', 1058),
('hollywood', 1056),
('looking', 1053),
('main', 1044),
('definitely', 1043),
('gives', 1031),
('home', 1029),
('seem', 1028),
('episode', 1023),
('audience', 1020),
('sense', 1020),
('truly', 1017),
('special', 1011),
('second', 1009),
('short', 1009),
('fan', 1009),
('mind', 1005),
('human', 1001),
('recommend', 999),
('full', 996),
('black', 995),
('help', 991),
('along', 989),
('trying', 987),
('small', 986),
('death', 985),
('friends', 981),
('remember', 974),
('often', 970),
('said', 966),
('favorite', 962),
('heart', 959),
('early', 957),
('left', 956),
('until', 955),
('script', 954),
('let', 954),
('maybe', 937),
('today', 936),
('live', 934),
('less', 934),
('moments', 933),
('others', 929),
('brilliant', 926),
('shot', 925),
('liked', 923),
('become', 916),
('won', 915),
('used', 910),
('style', 907),
('mother', 895),
('lives', 894),
('came', 893),
('stars', 890),
('cinema', 889),
('looks', 885),
('perhaps', 884),
('enjoyed', 879),
('boy', 875),
('drama', 873),
('highly', 871),
('given', 870),
('playing', 867),
('use', 864),
('next', 859),
('women', 858),
('fine', 857),
('effects', 856),
('kids', 854),
('entertaining', 853),
('need', 852),
('line', 850),
('works', 848),
('someone', 847),
('mr', 836),
('simply', 835),
('picture', 833),
('children', 833),
('face', 831),
('keep', 831),
('friend', 831),
('dark', 830),
('overall', 828),
('certainly', 828),
('minutes', 827),
('wasn', 824),
('history', 822),
('finally', 820),
('couple', 816),
('against', 815),
('son', 809),
('understand', 808),
('lost', 807),
('michael', 805),
('else', 801),
('throughout', 798),
('fans', 797),
('city', 792),
('reason', 789),
('written', 787),
('production', 787),
('several', 784),
('school', 783),
('based', 781),
('rest', 781),
('try', 780),
('hope', 775),
('strong', 768),
('white', 765),
('tell', 759),
('itself', 758),
('half', 753),
('person', 749),
('sometimes', 746),
('past', 744),
('start', 744),
('genre', 743),
('beginning', 739),
('final', 739),
('town', 738),
('art', 734),
('humor', 732),
('game', 732),
('yes', 731),
('idea', 731),
('late', 730),
('becomes', 729),
('despite', 729),
('able', 726),
('case', 726),
('money', 723),
('child', 721),
('completely', 721),
('side', 719),
('camera', 716),
('getting', 714),
('soon', 702),
('under', 700),
('viewer', 699),
('age', 697),
('days', 696),
('stories', 696),
('felt', 694),
('simple', 694),
('roles', 693),
('video', 688),
('name', 683),
('either', 683),
('doing', 677),
('turns', 674),
('wants', 671),
('close', 671),
('title', 669),
('wrong', 668),
('went', 666),
('james', 665),
('evil', 659),
('budget', 657),
('episodes', 657),
('relationship', 655),
('fantastic', 653),
('piece', 653),
('david', 651),
('turn', 648),
('murder', 646),
('parts', 645),
('brother', 644),
('absolutely', 643),
('experience', 642),
('eyes', 641),
('sex', 638),
('direction', 637),
('called', 637),
('directed', 636),
('lines', 634),
('behind', 633),
('sort', 632),
('actress', 631),
('oscar', 628),
('including', 627),
('example', 627),
('known', 625),
('musical', 625),
('chance', 621),
('score', 620),
('feeling', 619),
('hit', 619),
('voice', 615),
('moment', 612),
('living', 612),
('low', 610),
('supporting', 610),
('ago', 609),
('themselves', 608),
('reality', 605),
('hilarious', 605),
('jack', 604),
('told', 603),
('hand', 601),
('quality', 600),
('moving', 600),
('dialogue', 600),
('song', 599),
('happy', 599),
('matter', 598),
('paul', 598),
('light', 594),
('future', 593),
('entire', 592),
('finds', 591),
('gave', 589),
('laugh', 587),
('released', 586),
('expect', 584),
('fight', 581),
('particularly', 580),
('cinematography', 579),
('police', 579),
('whose', 578),
('type', 578),
('sound', 578),
('view', 573),
('enjoyable', 573),
('number', 572),
('romantic', 572),
('husband', 572),
('daughter', 572),
('documentary', 571),
('self', 570),
('superb', 569),
('modern', 569),
('took', 569),
('robert', 569),
('mean', 566),
('shown', 563),
('coming', 561),
('important', 560),
('king', 559),
('leave', 559),
('change', 558),
('somewhat', 555),
('wanted', 555),
('tells', 554),
('events', 552),
('run', 552),
('career', 552),
('country', 552),
('heard', 550),
('season', 550),
('greatest', 549),
('girls', 549),
('etc', 547),
('care', 546),
('starts', 545),
('english', 542),
('killer', 541),
('tale', 540),
('guys', 540),
('totally', 540),
('animation', 540),
('usual', 539),
('miss', 535),
('opinion', 535),
('easy', 531),
('violence', 531),
('songs', 530),
('british', 528),
('says', 526),
('realistic', 525),
('writing', 524),
('writer', 522),
('act', 522),
('comic', 521),
('thriller', 519),
('television', 517),
('power', 516),
('ones', 515),
('kid', 514),
('york', 513),
('novel', 513),
('alone', 512),
('problem', 512),
('attention', 509),
('involved', 508),
('kill', 507),
('extremely', 507),
('seemed', 506),
('hero', 505),
('french', 505),
('rock', 504),
('stuff', 501),
('wish', 499),
('begins', 498),
('taken', 497),
('ways', 496),
('richard', 495),
('knows', 494),
('atmosphere', 493),
('similar', 491),
('surprised', 491),
('taking', 491),
('car', 491),
('george', 490),
('perfectly', 490),
('across', 489),
('team', 489),
('eye', 489),
('sequence', 489),
('room', 488),
('due', 488),
('among', 488),
('serious', 488),
('powerful', 488),
('strange', 487),
('order', 487),
('cannot', 487),
('b', 487),
('beauty', 486),
('famous', 485),
('happened', 484),
('tries', 484),
('herself', 484),
('myself', 484),
('class', 483),
('four', 482),
('cool', 481),
('release', 479),
('anyway', 479),
('theme', 479),
('opening', 478),
('entertainment', 477),
('slow', 475),
('ends', 475),
('unique', 475),
('exactly', 475),
('easily', 474),
('level', 474),
('o', 474),
('red', 474),
('interest', 472),
('happen', 471),
('crime', 470),
('viewing', 468),
('sets', 467),
('memorable', 467),
('stop', 466),
('group', 466),
('problems', 463),
('dance', 463),
('working', 463),
('sister', 463),
('message', 463),
('knew', 462),
('mystery', 461),
('nature', 461),
('bring', 460),
('believable', 459),
('thinking', 459),
('brought', 459),
('mostly', 458),
('disney', 457),
('couldn', 457),
('society', 456),
('within', 455),
('blood', 454),
('parents', 453),
('upon', 453),
('viewers', 453),
('meets', 452),
('form', 452),
('peter', 452),
('tom', 452),
('usually', 452),
('soundtrack', 452),
('local', 450),
('certain', 448),
('follow', 448),
('whether', 447),
('possible', 446),
('emotional', 445),
('killed', 444),
('above', 444),
('de', 444),
('god', 443),
('middle', 443),
('needs', 442),
('happens', 442),
('flick', 442),
('masterpiece', 441),
('period', 440),
('major', 440),
('named', 439),
('haven', 439),
('particular', 438),
('th', 438),
('earth', 437),
('feature', 437),
('stand', 436),
('words', 435),
('typical', 435),
('elements', 433),
('obviously', 433),
('romance', 431),
('jane', 430),
('yourself', 427),
('showing', 427),
('brings', 426),
('fantasy', 426),
('guess', 423),
('america', 423),
('unfortunately', 422),
('huge', 422),
('indeed', 421),
('running', 421),
('talent', 420),
('stage', 419),
('started', 418),
('sweet', 417),
('japanese', 417),
('poor', 416),
('deal', 416),
('incredible', 413),
('personal', 413),
('fast', 412),
('became', 410),
('deep', 410),
('hours', 409),
('giving', 408),
('nearly', 408),
('dream', 408),
('clearly', 407),
('turned', 407),
('obvious', 406),
('near', 406),
('cut', 405),
('surprise', 405),
('era', 404),
('body', 404),
('hour', 403),
('female', 403),
('five', 403),
('note', 399),
('learn', 398),
('truth', 398),
('except', 397),
('feels', 397),
('match', 397),
('tony', 397),
('filmed', 394),
('clear', 394),
('complete', 394),
('street', 393),
('eventually', 393),
('keeps', 393),
('older', 393),
('lots', 393),
('william', 391),
('stewart', 391),
('fall', 390),
('joe', 390),
('meet', 390),
('unlike', 389),
('talking', 389),
('shots', 389),
('rating', 389),
('difficult', 389),
('dramatic', 388),
('means', 388),
('situation', 386),
('wonder', 386),
('present', 386),
('appears', 386),
('subject', 386),
('general', 383),
('sequences', 383),
('lee', 383),
('points', 382),
('earlier', 382),
('gone', 379),
('check', 379),
('suspense', 378),
('recommended', 378),
('ten', 378),
('third', 377),
('talk', 375),
('leaves', 375),
('beyond', 375),
('portrayal', 374),
('beautifully', 373),
('single', 372),
('bill', 372),
('plenty', 371),
('word', 371),
('whom', 370),
('falls', 370),
('scary', 369),
('non', 369),
('figure', 369),
('battle', 369),
('using', 368),
('return', 368),
('doubt', 367),
('hear', 366),
('solid', 366),
('success', 366),
('jokes', 365),
('oh', 365),
('touching', 365),
('political', 365),
('hell', 364),
('awesome', 364),
('boys', 364),
('sexual', 362),
('recently', 362),
('dog', 362),
('wouldn', 361),
('straight', 361),
('features', 361),
('forget', 360),
('setting', 360),
('lack', 360),
('married', 359),
('mark', 359),
('social', 357),
('interested', 356),
('actual', 355),
('terrific', 355),
('sees', 355),
('brothers', 355),
('move', 354),
('call', 354),
('various', 353),
('theater', 353),
('dr', 353),
('animated', 352),
('western', 351),
('baby', 350),
('space', 350),
('disappointed', 348),
('portrayed', 346),
('aren', 346),
('screenplay', 345),
('smith', 345),
('towards', 344),
('hate', 344),
('noir', 343),
('outstanding', 342),
('decent', 342),
('kelly', 342),
('directors', 341),
('journey', 341),
('none', 340),
('looked', 340),
('effective', 340),
('storyline', 339),
('caught', 339),
('sci', 339),
('fi', 339),
('cold', 339),
('mary', 339),
('rich', 338),
('charming', 338),
('popular', 337),
('rare', 337),
('manages', 337),
('harry', 337),
('spirit', 336),
('appreciate', 335),
('open', 335),
('moves', 334),
('basically', 334),
('acted', 334),
('inside', 333),
('boring', 333),
('century', 333),
('mention', 333),
('deserves', 333),
('subtle', 333),
('pace', 333),
('familiar', 332),
('background', 332),
('ben', 331),
('creepy', 330),
('supposed', 330),
('secret', 329),
('die', 328),
('jim', 328),
('question', 327),
('effect', 327),
('natural', 327),
('impressive', 326),
('rate', 326),
('language', 326),
('saying', 325),
('intelligent', 325),
('telling', 324),
('realize', 324),
('material', 324),
('scott', 324),
('singing', 323),
('dancing', 322),
('visual', 321),
('imagine', 321),
('kept', 320),
('office', 320),
('uses', 319),
('pure', 318),
('wait', 318),
('stunning', 318),
('review', 317),
('previous', 317),
('copy', 317),
('seriously', 317),
('create', 316),
('hot', 316),
('created', 316),
('magic', 316),
('somehow', 316),
('stay', 315),
('attempt', 315),
('escape', 315),
('crazy', 315),
('air', 315),
('frank', 315),
('hands', 314),
('filled', 313),
('expected', 312),
('average', 312),
('surprisingly', 312),
('complex', 311),
('quickly', 310),
('successful', 310),
('studio', 310),
('plus', 309),
('male', 309),
('co', 307),
('images', 306),
('casting', 306),
('following', 306),
('minute', 306),
('exciting', 306),
('members', 305),
('follows', 305),
('themes', 305),
('german', 305),
('reasons', 305),
('e', 305),
('touch', 304),
('edge', 304),
('free', 304),
('cute', 304),
('genius', 304),
('outside', 303),
('reviews', 302),
('ok', 302),
('younger', 302),
('fighting', 301),
('odd', 301),
('master', 301),
('recent', 300),
('thanks', 300),
('break', 300),
('comment', 300),
('apart', 299),
('emotions', 298),
('lovely', 298),
('begin', 298),
('doctor', 297),
('party', 297),
('italian', 297),
('la', 296),
('missed', 296),
...]

``````
``````

In [11]:

pos_neg_ratios = Counter()

for term,cnt in list(total_counts.most_common()):
if(cnt > 100):
pos_neg_ratio = positive_counts[term] / float(negative_counts[term]+1)
pos_neg_ratios[term] = pos_neg_ratio

for word,ratio in pos_neg_ratios.most_common():
if(ratio > 1):
pos_neg_ratios[word] = np.log(ratio)
else:
pos_neg_ratios[word] = -np.log((1 / (ratio+0.01)))

``````
``````

In [12]:

# words most frequently seen in a review with a "POSITIVE" label
pos_neg_ratios.most_common()

``````
``````

Out[12]:

[('edie', 4.6913478822291435),
('paulie', 4.0775374439057197),
('felix', 3.1527360223636558),
('polanski', 2.8233610476132043),
('matthau', 2.8067217286092401),
('victoria', 2.6810215287142909),
('mildred', 2.6026896854443837),
('gandhi', 2.5389738710582761),
('flawless', 2.451005098112319),
('superbly', 2.2600254785752498),
('perfection', 2.1594842493533721),
('astaire', 2.1400661634962708),
('captures', 2.0386195471595809),
('voight', 2.0301704926730531),
('wonderfully', 2.0218960560332353),
('powell', 1.9783454248084671),
('brosnan', 1.9547990964725592),
('lily', 1.9203768470501485),
('bakshi', 1.9029851043382795),
('lincoln', 1.9014583864844796),
('refreshing', 1.8551812956655511),
('breathtaking', 1.8481124057791867),
('bourne', 1.8478489358790986),
('lemmon', 1.8458266904983307),
('delightful', 1.8002701588959635),
('flynn', 1.7996646487351682),
('andrews', 1.7764919970972666),
('homer', 1.7692866133759964),
('beautifully', 1.7626953362841438),
('soccer', 1.7578579175523736),
('elvira', 1.7397031072720019),
('underrated', 1.7197859696029656),
('gripping', 1.7165360479904674),
('superb', 1.7091514458966952),
('delight', 1.6714733033535532),
('welles', 1.6677068205580761),
('sinatra', 1.6389967146756448),
('touching', 1.637217476541176),
('timeless', 1.62924053973028),
('macy', 1.6211339521972916),
('unforgettable', 1.6177367152487956),
('favorites', 1.6158688027643908),
('stewart', 1.6119987332957739),
('sullivan', 1.6094379124341003),
('extraordinary', 1.6094379124341003),
('hartley', 1.6094379124341003),
('brilliantly', 1.5950491749820008),
('friendship', 1.5677652160335325),
('wonderful', 1.5645425925262093),
('palma', 1.5553706911638245),
('magnificent', 1.54663701119507),
('finest', 1.5462590108125689),
('jackie', 1.5439233053234738),
('ritter', 1.5404450409471491),
('tremendous', 1.5184661342283736),
('freedom', 1.5091151908062312),
('fantastic', 1.5048433868558566),
('terrific', 1.5026699370083942),
('noir', 1.493925025312256),
('sidney', 1.493925025312256),
('outstanding', 1.4910053152089213),
('pleasantly', 1.4894785973551214),
('mann', 1.4894785973551214),
('nancy', 1.488077055429833),
('marie', 1.4825711915553104),
('marvelous', 1.4739999415389962),
('excellent', 1.4647538505723599),
('ruth', 1.4596256342054401),
('stanwyck', 1.4412101187160054),
('widmark', 1.4350845252893227),
('splendid', 1.4271163556401458),
('chan', 1.423108334242607),
('exceptional', 1.4201959127955721),
('tender', 1.410986973710262),
('gentle', 1.4078005663408544),
('poignant', 1.4022947024663317),
('gem', 1.3932148039644643),
('amazing', 1.3919815802404802),
('chilling', 1.3862943611198906),
('fisher', 1.3862943611198906),
('davies', 1.3862943611198906),
('captivating', 1.3862943611198906),
('darker', 1.3652409519220583),
('april', 1.3499267169490159),
('kelly', 1.3461743673304654),
('blake', 1.3418425985490567),
('overlooked', 1.329135947279942),
('ralph', 1.32818673031261),
('bette', 1.3156767939059373),
('hoffman', 1.3150668518315229),
('cole', 1.3121863889661687),
('shines', 1.3049487216659381),
('powerful', 1.2999662776313934),
('notch', 1.2950456896547455),
('remarkable', 1.2883688239495823),
('pitt', 1.286210902562908),
('winters', 1.2833463918674481),
('vivid', 1.2762934659055623),
('gritty', 1.2757524867200667),
('giallo', 1.2745029551317739),
('portrait', 1.2704625455947689),
('innocence', 1.2694300209805796),
('psychiatrist', 1.2685113254635072),
('favorite', 1.2668956297860055),
('ensemble', 1.2656663733312759),
('stunning', 1.2622417124499117),
('burns', 1.259880436264232),
('garbo', 1.258954938743289),
('barbara', 1.2580400255962119),
('philip', 1.2527629684953681),
('panic', 1.2527629684953681),
('holly', 1.2527629684953681),
('carol', 1.2481440226390734),
('perfect', 1.246742480713785),
('appreciated', 1.2462482874741743),
('favourite', 1.2411123512753928),
('journey', 1.2367626271489269),
('rural', 1.235471471385307),
('bond', 1.2321436812926323),
('builds', 1.2305398317106577),
('brilliant', 1.2287554137664785),
('brooklyn', 1.2286654169163074),
('von', 1.225175011976539),
('recommended', 1.2163953243244932),
('unfolds', 1.2163953243244932),
('daniel', 1.20215296760895),
('perfectly', 1.1971931173405572),
('crafted', 1.1962507582320256),
('prince', 1.1939224684724346),
('troubled', 1.192138346678933),
('consequences', 1.1865810616140668),
('haunting', 1.1814999484738773),
('cinderella', 1.180052620608284),
('alexander', 1.1759989522835299),
('emotions', 1.1753049094563641),
('boxing', 1.1735135968412274),
('subtle', 1.1734135017508081),
('curtis', 1.1649873576129823),
('rare', 1.1566438362402944),
('loved', 1.1563661500586044),
('daughters', 1.1526795099383853),
('courage', 1.1438688802562305),
('dentist', 1.1426722784621401),
('highly', 1.1420208631618658),
('nominated', 1.1409146683587992),
('tony', 1.1397491942285991),
('draws', 1.1325138403437911),
('everyday', 1.1306150197542835),
('contrast', 1.1284652518177909),
('cried', 1.1213405397456659),
('fabulous', 1.1210851445201684),
('ned', 1.120591195386885),
('fay', 1.120591195386885),
('emma', 1.1184149159642893),
('sensitive', 1.113318436057805),
('smooth', 1.1089750757036563),
('dramas', 1.1080910326226534),
('today', 1.1050431789984001),
('helps', 1.1023091505494358),
('inspiring', 1.0986122886681098),
('jimmy', 1.0937696641923216),
('awesome', 1.0931328229034842),
('unique', 1.0881409888008142),
('tragic', 1.0871835928444868),
('intense', 1.0870514662670339),
('stellar', 1.0857088838322018),
('rival', 1.0822184788924332),
('provides', 1.0797081340289569),
('depression', 1.0782034170369026),
('shy', 1.0775588794702773),
('carrie', 1.076139432816051),
('blend', 1.0753554265038423),
('hank', 1.0736109864626924),
('diana', 1.0726368022648489),
('unexpected', 1.0722255334949147),
('achievement', 1.0668635903535293),
('bettie', 1.0663514264498881),
('happiness', 1.0632729222228008),
('glorious', 1.0608719606852626),
('davis', 1.0541605260972757),
('terrifying', 1.0525211814678428),
('beauty', 1.050410186850232),
('ideal', 1.0479685558493548),
('fears', 1.0467872208035236),
('hong', 1.0438040521731147),
('seasons', 1.0433496099930604),
('fascinating', 1.0414538748281612),
('carries', 1.0345904299031787),
('satisfying', 1.0321225473992768),
('definite', 1.0319209141694374),
('touched', 1.0296194171811581),
('greatest', 1.0248947127715422),
('creates', 1.0241097613701886),
('aunt', 1.023388867430522),
('walter', 1.022328983918479),
('spectacular', 1.0198314108149955),
('portrayal', 1.0189810189761024),
('ann', 1.0127808528183286),
('enterprise', 1.0116009116784799),
('musicals', 1.0096648026516135),
('deeply', 1.0094845087721023),
('incredible', 1.0061677561461084),
('mature', 1.0060195018402847),
('triumph', 0.99682959435816731),
('margaret', 0.99682959435816731),
('navy', 0.99493385919326827),
('harry', 0.99176919305006062),
('lucas', 0.990398704027877),
('sweet', 0.98966110487955483),
('joey', 0.98794672078059009),
('oscar', 0.98721905111049713),
('balance', 0.98649499054740353),
('warm', 0.98485340331145166),
('ages', 0.98449898190068863),
('guilt', 0.98082925301172619),
('glover', 0.98082925301172619),
('carrey', 0.98082925301172619),
('learns', 0.97881108885548895),
('unusual', 0.97788374278196932),
('sons', 0.97777581552483595),
('complex', 0.97761897738147796),
('essence', 0.97753435711487369),
('brazil', 0.9769153536905899),
('widow', 0.97650959186720987),
('solid', 0.97537964824416146),
('beautiful', 0.97326301262841053),
('holmes', 0.97246100334120955),
('awe', 0.97186058302896583),
('vhs', 0.97116734209998934),
('eerie', 0.97116734209998934),
('lonely', 0.96873720724669754),
('grim', 0.96873720724669754),
('sport', 0.96825047080486615),
('debut', 0.96508089604358704),
('destiny', 0.96343751029985703),
('thrillers', 0.96281074750904794),
('tears', 0.95977584381389391),
('rose', 0.95664202739772253),
('feelings', 0.95551144502743635),
('ginger', 0.95551144502743635),
('winning', 0.95471810900804055),
('stanley', 0.95387344302319799),
('cox', 0.95343027882361187),
('paris', 0.95278479030472663),
('heart', 0.95238806924516806),
('hooked', 0.95155887071161305),
('comfortable', 0.94803943018873538),
('mgm', 0.94446160884085151),
('masterpiece', 0.94155039863339296),
('themes', 0.94118828349588235),
('danny', 0.93967118051821874),
('anime', 0.93378388932167222),
('perry', 0.93328830824272613),
('joy', 0.93301752567946861),
('lovable', 0.93081883243706487),
('mysteries', 0.92953595862417571),
('hal', 0.92953595862417571),
('louis', 0.92871325187271225),
('charming', 0.92520609553210742),
('urban', 0.92367083917177761),
('allows', 0.92183091224977043),
('impact', 0.91815814604895041),
('italy', 0.91629073187415511),
('lifestyle', 0.91629073187415511),
('spy', 0.91289514287301687),
('treat', 0.91193342650519937),
('subsequent', 0.91056005716517008),
('kennedy', 0.90981821736853763),
('loving', 0.90967549275543591),
('surprising', 0.90937028902958128),
('quiet', 0.90648673177753425),
('winter', 0.90624039602065365),
('reveals', 0.90490540964902977),
('raw', 0.90445627422715225),
('funniest', 0.90078654533818991),
('norman', 0.89994159387262562),
('thief', 0.89874642222324552),
('season', 0.89827222637147675),
('secrets', 0.89794159320595857),
('colorful', 0.89705936994626756),
('highest', 0.8967461358011849),
('compelling', 0.89462923509297576),
('danes', 0.89248008318043659),
('castle', 0.88967708335606499),
('kudos', 0.88889175768604067),
('great', 0.88810470901464589),
('baseball', 0.88730319500090271),
('subtitles', 0.88730319500090271),
('bleak', 0.88730319500090271),
('winner', 0.88643776872447388),
('tragedy', 0.88563699078315261),
('todd', 0.88551907320740142),
('nicely', 0.87924946019380601),
('arthur', 0.87546873735389985),
('essential', 0.87373111745535925),
('gorgeous', 0.8731725250935497),
('fonda', 0.87294029100054127),
('eastwood', 0.87139541196626402),
('focuses', 0.87082835779739776),
('enjoyed', 0.87070195951624607),
('natural', 0.86997924506912838),
('intensity', 0.86835126958503595),
('witty', 0.86824103423244681),
('rob', 0.8642954367557748),
('worlds', 0.86377269759070874),
('health', 0.86113891179907498),
('magical', 0.85953791528170564),
('deeper', 0.85802182375017932),
('lucy', 0.85618680780444956),
('moving', 0.85566611005772031),
('lovely', 0.85290640004681306),
('purple', 0.8513711857748395),
('memorable', 0.84801189112086062),
('sings', 0.84729786038720367),
('craig', 0.84342938360928321),
('modesty', 0.84342938360928321),
('relate', 0.84326559685926517),
('episodes', 0.84223712084137292),
('strong', 0.84167135777060931),
('smith', 0.83959811108590054),
('tear', 0.83704136022001441),
('apartment', 0.83333115290549531),
('princess', 0.83290912293510388),
('disagree', 0.83290912293510388),
('kung', 0.83173334384609199),
('columbo', 0.82667857318446791),
('jake', 0.82667857318446791),
('hart', 0.82472353834866463),
('strength', 0.82417544296634937),
('realizes', 0.82360006895738058),
('dave', 0.8232003088081431),
('childhood', 0.82208086393583857),
('forbidden', 0.81989888619908913),
('tight', 0.81883539572344199),
('surreal', 0.8178506590609026),
('manager', 0.81770990320170756),
('dancer', 0.81574950265227764),
('studios', 0.81093021621632877),
('con', 0.81093021621632877),
('miike', 0.80821651034473263),
('realistic', 0.80807714723392232),
('explicit', 0.80792269515237358),
('kurt', 0.8060875917405409),
('deals', 0.80535917116687328),
('holds', 0.80493858654806194),
('carl', 0.80437281567016972),
('touches', 0.80396154690023547),
('gene', 0.80314807577427383),
('albert', 0.8027669055771679),
('abc', 0.80234647252493729),
('cry', 0.80011930011211307),
('sides', 0.7995275841185171),
('develops', 0.79850769621777162),
('eyre', 0.79850769621777162),
('dances', 0.79694397424158891),
('oscars', 0.79633141679517616),
('legendary', 0.79600456599965308),
('hearted', 0.79492987486988764),
('importance', 0.79492987486988764),
('portraying', 0.79356592830699269),
('impressed', 0.79258107754813223),
('waters', 0.79112758892014912),
('empire', 0.79078565012386137),
('edge', 0.789774016249017),
('jean', 0.78845736036427028),
('environment', 0.78845736036427028),
('sentimental', 0.7864791203521645),
('captured', 0.78623760362595729),
('styles', 0.78592891401091158),
('daring', 0.78592891401091158),
('frank', 0.78275933924963248),
('tense', 0.78275933924963248),
('backgrounds', 0.78275933924963248),
('matches', 0.78275933924963248),
('gothic', 0.78209466657644144),
('sharp', 0.7814397877056235),
('achieved', 0.78015855754957497),
('court', 0.77947526404844247),
('steals', 0.7789140023173704),
('rules', 0.77844476107184035),
('colors', 0.77684619943659217),
('reunion', 0.77318988823348167),
('covers', 0.77139937745969345),
('tale', 0.77010822169607374),
('rain', 0.7683706017975328),
('denzel', 0.76804848873306297),
('stays', 0.76787072675588186),
('blob', 0.76725515271366718),
('maria', 0.76214005204689672),
('conventional', 0.76214005204689672),
('fresh', 0.76158434211317383),
('midnight', 0.76096977689870637),
('landscape', 0.75852993982279704),
('animated', 0.75768570169751648),
('titanic', 0.75666058628227129),
('sunday', 0.75666058628227129),
('spring', 0.7537718023763802),
('cagney', 0.7537718023763802),
('enjoyable', 0.75246375771636476),
('immensely', 0.75198768058287868),
('sir', 0.7507762933965817),
('nevertheless', 0.75067102469813185),
('driven', 0.74994477895307854),
('performances', 0.74883252516063137),
('memories', 0.74721440183022114),
('simple', 0.74641420974143258),
('golden', 0.74533293373051557),
('leslie', 0.74533293373051557),
('lovers', 0.74497224842453125),
('relationship', 0.74484232345601786),
('supporting', 0.74357803418683721),
('che', 0.74262723782331497),
('packed', 0.7410032017375805),
('trek', 0.74021469141793106),
('provoking', 0.73840377214806618),
('strikes', 0.73759894313077912),
('depiction', 0.73682224406260699),
('emotional', 0.73678211645681524),
('secretary', 0.7366322924996842),
('influenced', 0.73511137965897755),
('florida', 0.73511137965897755),
('germany', 0.73288750920945944),
('brings', 0.73142936713096229),
('lewis', 0.73129894652432159),
('elderly', 0.73088750854279239),
('owner', 0.72743625403857748),
('streets', 0.72666987259858895),
('henry', 0.72642196944481741),
('portrays', 0.72593700338293632),
('bears', 0.7252354951114458),
('china', 0.72489587887452556),
('anger', 0.72439972406404984),
('society', 0.72433010799663333),
('available', 0.72415741730250549),
('best', 0.72347034060446314),
('bugs', 0.72270598280148979),
('magic', 0.71878961117328299),
('delivers', 0.71846498854423513),
('verhoeven', 0.71846498854423513),
('jim', 0.71783979315031676),
('donald', 0.71667767797013937),
('endearing', 0.71465338578090898),
('relationships', 0.71393795022901896),
('greatly', 0.71256526641704687),
('charlie', 0.71024161391924534),
('simon', 0.70967648251115578),
('effectively', 0.70914752190638641),
('march', 0.70774597998109789),
('atmosphere', 0.70744773070214162),
('influence', 0.70733181555190172),
('genius', 0.706392407309966),
('emotionally', 0.70556970055850243),
('ken', 0.70526854109229009),
('identity', 0.70484322032313651),
('sophisticated', 0.70470800296102132),
('dan', 0.70457587638356811),
('andrew', 0.70329955202396321),
('india', 0.70144598337464037),
('roy', 0.69970458110610434),
('surprisingly', 0.6995780708902356),
('sky', 0.69780919366575667),
('romantic', 0.69664981111114743),
('match', 0.69566924999265523),
('meets', 0.69314718055994529),
('cowboy', 0.69314718055994529),
('wave', 0.69314718055994529),
('bitter', 0.69314718055994529),
('patient', 0.69314718055994529),
('stylish', 0.69314718055994529),
('britain', 0.69314718055994529),
('affected', 0.69314718055994529),
('beatty', 0.69314718055994529),
('love', 0.69198533541937324),
('paul', 0.68980827929443067),
('andy', 0.68846333124751902),
('performance', 0.68797386327972465),
('patrick', 0.68645819240914863),
('unlike', 0.68546468438792907),
('brooks', 0.68433655087779044),
('refuses', 0.68348526964820844),
('award', 0.6824518914431974),
('complaint', 0.6824518914431974),
('ride', 0.68229716453587952),
('dawson', 0.68171848473632257),
('luke', 0.68158635815886937),
('wells', 0.68087708796813096),
('france', 0.6804081547825156),
('sports', 0.68007509899259255),
('handsome', 0.68007509899259255),
('directs', 0.67875844310784572),
('rebel', 0.67875844310784572),
('greater', 0.67605274720064523),
('dreams', 0.67599410133369586),
('effective', 0.67565402311242806),
('interpretation', 0.67479804189174875),
('works', 0.67445504754779284),
('brando', 0.67445504754779284),
('noble', 0.6737290947028437),
('paced', 0.67314651385327573),
('le', 0.67067432470788668),
('master', 0.67015766233524654),
('h', 0.6696166831497512),
('rings', 0.66904962898088483),
('easy', 0.66895995494594152),
('city', 0.66820823221269321),
('sunshine', 0.66782937257565544),
('succeeds', 0.66647893347778397),
('relations', 0.664159643686693),
('england', 0.66387679825983203),
('glimpse', 0.66329421741026418),
('aired', 0.66268797307523675),
('sees', 0.66263163663399482),
('both', 0.66248336767382998),
('definitely', 0.66199789483898808),
('imaginative', 0.66139848224536502),
('appreciate', 0.66083893732728749),
('tricks', 0.66071190480679143),
('striking', 0.66071190480679143),
('carefully', 0.65999497324304479),
('complicated', 0.65981076029235353),
('perspective', 0.65962448852130173),
('trilogy', 0.65877953705573755),
('future', 0.65834665141052828),
('lion', 0.65742909795786608),
('douglas', 0.65540685257709819),
('victor', 0.65540685257709819),
('inspired', 0.65459851044271034),
('marriage', 0.65392646740666405),
('demands', 0.65392646740666405),
('father', 0.65172321672194655),
('page', 0.65123628494430852),
('instant', 0.65058756614114943),
('era', 0.6495567444850836),
('ruthless', 0.64934455790155243),
('saga', 0.64934455790155243),
('joan', 0.64891392558311978),
('joseph', 0.64841128671855386),
('workers', 0.64829661439459352),
('fantasy', 0.64726757480925168),
('distant', 0.64551913157069074),
('accomplished', 0.64551913157069074),
('manhattan', 0.64435701639051324),
('personal', 0.64355023942057321),
('meeting', 0.64313675998528386),
('individual', 0.64313675998528386),
('pushing', 0.64313675998528386),
('pleasant', 0.64250344774119039),
('brave', 0.64185388617239469),
('william', 0.64083139119578469),
('hudson', 0.64077919504262937),
('friendly', 0.63949446706762514),
('eccentric', 0.63907995928966954),
('awards', 0.63875310849414646),
('jack', 0.63838309514997038),
('seeking', 0.63808740337691783),
('divorce', 0.63757732940513456),
('colonel', 0.63757732940513456),
('jane', 0.63443957973316734),
('keeping', 0.63414883979798953),
('gives', 0.63383568159497883),
('ted', 0.63342794585832296),
('animation', 0.63208692379869902),
('progress', 0.6317782341836532),
('larger', 0.63127177684185776),
('concert', 0.63127177684185776),
('nation', 0.6296337748376194),
('albeit', 0.62739580299716491),
('discovers', 0.62542900650499444),
('classic', 0.62504956428050518),
('segment', 0.62335141862440335),
('morgan', 0.62303761437291871),
('mouse', 0.62294292188669675),
('impressive', 0.62211140744319349),
('artist', 0.62168821657780038),
('ultimate', 0.62168821657780038),
('griffith', 0.62117368093485603),
('drew', 0.62082651898031915),
('emily', 0.62082651898031915),
('moved', 0.6197197120051281),
('families', 0.61903920840622351),
('profound', 0.61903920840622351),
('innocent', 0.61851219917136446),
('versions', 0.61730910416844087),
('eddie', 0.61691981517206107),
('criticism', 0.61651395453902935),
('nature', 0.61594514653194088),
('recognized', 0.61518563909023349),
('sexuality', 0.61467556511845012),
('contract', 0.61400986000122149),
('brian', 0.61344043794920278),
('remembered', 0.6131044728864089),
('determined', 0.6123858239154869),
('offers', 0.61207935747116349),
('pleasure', 0.61195702582993206),
('washington', 0.61180154110599294),
('images', 0.61159731359583758),
('games', 0.61067095873570676),
('fashioned', 0.60798937221963845),
('melodrama', 0.60749173598145145),
('rough', 0.60613580357031549),
('charismatic', 0.60613580357031549),
('peoples', 0.60613580357031549),
('dealing', 0.60517840761398811),
('fine', 0.60496962268013299),
('tap', 0.60391604683200273),
('trio', 0.60157998703445481),
('russell', 0.60120968523425966),
('figures', 0.60077386042893011),
('ward', 0.60005675749393339),
('shine', 0.59911823091166894),
('job', 0.59845562125168661),
('satisfied', 0.59652034487087369),
('river', 0.59637962862495086),
('brown', 0.595773016534769),
('believable', 0.59566072133302495),
('always', 0.59470710774669278),
('bound', 0.59470710774669278),
('hall', 0.5933967777928858),
('cook', 0.5916777203950857),
('claire', 0.59136448625000293),
('anna', 0.58778666490211906),
('peace', 0.58628403501758408),
('visually', 0.58539431926349916),
('morality', 0.58525821854876026),
('falk', 0.58525821854876026),
('growing', 0.58466653756587539),
('experiences', 0.58314628534561685),
('stood', 0.58314628534561685),
('touch', 0.58122926435596001),
('lives', 0.5810976767513224),
('kubrick', 0.58066919713325493),
('timing', 0.58047401805583243),
('expressions', 0.57981849525294216),
('struggles', 0.57981849525294216),
('authentic', 0.57848427223980559),
('helen', 0.57763429343810091),
('pre', 0.57700753064729182),
('quirky', 0.5753641449035618),
('young', 0.57531672344534313),
('inner', 0.57454143815209846),
('mexico', 0.57443087372056334),
('clint', 0.57380042292737909),
('sisters', 0.57286101468544337),
('realism', 0.57226528899949558),
('french', 0.5720692490067093),
('personalities', 0.5720692490067093),
('surprises', 0.57113222999698177),
('overcome', 0.5697681593994407),
('timothy', 0.56953322459276867),
('tales', 0.56909453188996639),
('war', 0.56843317302781682),
('civil', 0.5679840376059393),
('countries', 0.56737779327091187),
('streep', 0.56710645966458029),
('oliver', 0.56673325570428668),
('australia', 0.56580775818334383),
('understanding', 0.56531380905006046),
('players', 0.56509525370004821),
('knowing', 0.56489284503626647),
('rogers', 0.56421349718405212),
('suspenseful', 0.56368911332305849),
('variety', 0.56368911332305849),
('true', 0.56281525180810066),
('jr', 0.56220982311246936),
('psychological', 0.56108745854687891),
('sent', 0.55961578793542266),
('grand', 0.55961578793542266),
('branagh', 0.55961578793542266),
('reminiscent', 0.55961578793542266),
('performing', 0.55961578793542266),
('wealth', 0.55961578793542266),
('overwhelming', 0.55961578793542266),
('odds', 0.55961578793542266),
('brothers', 0.55891181043362848),
('howard', 0.55811089675600245),
('david', 0.55693122256475369),
('generation', 0.55628799784274796),
('grow', 0.55612538299565417),
('survival', 0.55594605904646033),
('mainstream', 0.55574731115750231),
('dick', 0.55431073570572953),
('charm', 0.55288175575407861),
('kirk', 0.55278982286502287),
('twists', 0.55244729845681018),
('gangster', 0.55206858230003986),
('jeff', 0.55179306225421365),
('family', 0.55116244510065526),
('tend', 0.55053307336110335),
('thanks', 0.55049088015842218),
('world', 0.54744234723432639),
('sutherland', 0.54743536937855164),
('life', 0.54695514434959924),
('disc', 0.54654370636806993),
('bug', 0.54654370636806993),
('tribute', 0.5455111817538808),
('europe', 0.54522705048332309),
('sacrifice', 0.54430155296238014),
('color', 0.54405127139431109),
('superior', 0.54333490233128523),
('york', 0.54318235866536513),
('pulls', 0.54266622962164945),
('jackson', 0.54232429082536171),
('hearts', 0.54232429082536171),
('enjoy', 0.54124285135906114),
('redemption', 0.54056759296472823),
('stands', 0.5389965007326869),
('trial', 0.5389965007326869),
('greek', 0.5389965007326869),
('hamilton', 0.5389965007326869),
('each', 0.5388212312554177),
('faithful', 0.53773307668591508),
('documentaries', 0.53714293208336406),
('jealous', 0.53714293208336406),
('different', 0.53709860682460819),
('describes', 0.53680111016925136),
('shorts', 0.53596159703753288),
('brilliance', 0.53551823635636209),
('mountains', 0.53492317534505118),
('share', 0.53408248593025787),
('dealt', 0.53408248593025787),
('providing', 0.53329847961804933),
('explore', 0.53329847961804933),
('series', 0.5325809226575603),
('fellow', 0.5323318289869543),
('loves', 0.53062825106217038),
('revolution', 0.53062825106217038),
('olivier', 0.53062825106217038),
('roman', 0.53062825106217038),
('century', 0.53002783074992665),
('musical', 0.52966871156747064),
('heroic', 0.52925932545482868),
('approach', 0.52806743020049673),
('ironically', 0.52806743020049673),
('temple', 0.52806743020049673),
('moves', 0.5279372642387119),
('julie', 0.52609309589677911),
('tells', 0.52415107836314001),
('uncle', 0.52354439617376536),
('union', 0.52324814376454787),
('deep', 0.52309571635780505),
('reminds', 0.52157841554225237),
('famous', 0.52118841080153722),
('jazz', 0.52053443789295151),
('dennis', 0.51987545928590861),
('epic', 0.51919387343650736),
('shows', 0.51915322220375304),
('performed', 0.5191244265806858),
('demons', 0.5191244265806858),
('discovered', 0.51879379341516751),
('eric', 0.51879379341516751),
('youth', 0.5185626062681431),
('human', 0.51851411224987087),
('tarzan', 0.51813827061227724),
('ourselves', 0.51794309153485463),
('wwii', 0.51758240622887042),
('passion', 0.5162164724008671),
('desire', 0.51607497965213445),
('pays', 0.51581316527702981),
('dirty', 0.51557622652458857),
('fox', 0.51557622652458857),
('sympathetic', 0.51546600332249293),
('symbolism', 0.51546600332249293),
('attitude', 0.51530993621331933),
('appearances', 0.51466440007315639),
('jeremy', 0.51466440007315639),
('fun', 0.51439068993048687),
('south', 0.51420972175023116),
('arrives', 0.51409894911095988),
('present', 0.51341965894303732),
('com', 0.51326167856387173),
('smile', 0.51265880484765169),
('alan', 0.51082562376599072),
('ring', 0.51082562376599072),
('visit', 0.51082562376599072),
('fits', 0.51082562376599072),
('provided', 0.51082562376599072),
('carter', 0.51082562376599072),
('aging', 0.51082562376599072),
('countryside', 0.51082562376599072),
('begins', 0.51015650363396647),
('success', 0.50900578704900468),
('japan', 0.50900578704900468),
('accurate', 0.50895471583017893),
('proud', 0.50800474742434931),
('daily', 0.5075946031845443),
('karloff', 0.50724780241810674),
('atmospheric', 0.50724780241810674),
('recently', 0.50714914903668207),
('fu', 0.50704490092608467),
('horrors', 0.50656122497953315),
('finding', 0.50637127341661037),
('lust', 0.5059356384717989),
('hitchcock', 0.50574947073413001),
('among', 0.50334004951332734),
('viewing', 0.50302139827440906),
('investigation', 0.50262885656181222),
('shining', 0.50262885656181222),
('duo', 0.5020919437972361),
('cameron', 0.5020919437972361),
('finds', 0.50128303100539795),
('contemporary', 0.50077528791248915),
('genuine', 0.50046283673044401),
('frightening', 0.49995595152908684),
('plays', 0.49975983848890226),
('age', 0.49941323171424595),
('position', 0.49899116611898781),
('continues', 0.49863035067217237),
('roles', 0.49839716550752178),
('james', 0.49837216269470402),
('individuals', 0.49824684155913052),
('brought', 0.49783842823917956),
('hilarious', 0.49714551986191058),
('brutal', 0.49681488669639234),
('appropriate', 0.49643688631389105),
('dance', 0.49581998314812048),
('league', 0.49578774640145024),
('helping', 0.49578774640145024),
('stunts', 0.49561620510246196),
('traveling', 0.49532143723002542),
('thoroughly', 0.49414593456733524),
('depicted', 0.49317068852726992),
('combination', 0.49247648509779424),
('honor', 0.49247648509779424),
('differences', 0.49247648509779424),
('fully', 0.49213349075383811),
('tracy', 0.49159426183810306),
('battles', 0.49140753790888908),
('possibility', 0.49112055268665822),
('romance', 0.4901589869574316),
('initially', 0.49002249613622745),
('happy', 0.4898997500608791),
('crime', 0.48977221456815834),
('singing', 0.4893852925281213),
('especially', 0.48901267837860624),
('shakespeare', 0.48754793889664511),
('hugh', 0.48729512635579658),
('detail', 0.48609484250827351),
('julia', 0.48550781578170082),
('san', 0.48550781578170082),
('guide', 0.48550781578170082),
('desperation', 0.48550781578170082),
('companion', 0.48550781578170082),
('strongly', 0.48460242866688824),
('necessary', 0.48302334245403883),
('humanity', 0.48265474679929443),
('drama', 0.48221998493060503),
('nonetheless', 0.48183808689273838),
('intrigue', 0.48183808689273838),
('warming', 0.48183808689273838),
('cuba', 0.48183808689273838),
('planned', 0.47957308026188628),
('pictures', 0.47929937011921681),
('nine', 0.47803580094299974),
('settings', 0.47743860773325364),
('history', 0.47732966933780852),
('ordinary', 0.47725880012690741),
('official', 0.47608267532211779),
('primary', 0.47608267532211779),
('episode', 0.47529620261150429),
('role', 0.47520268270188676),
('spirit', 0.47477690799839323),
('grey', 0.47409361449726067),
('ways', 0.47323464982718205),
('cup', 0.47260441094579297),
('piano', 0.47260441094579297),
('familiar', 0.47241617565111949),
('sinister', 0.47198579044972683),
('reveal', 0.47171449364936496),
('max', 0.47150852042515579),
('dated', 0.47121648567094482),
('losing', 0.47000362924573563),
('discovery', 0.47000362924573563),
('vicious', 0.47000362924573563),
('genuinely', 0.46871413841586385),
('hatred', 0.46734051182625186),
('mistaken', 0.46702300110759781),
('dream', 0.46608972992459924),
('challenge', 0.46608972992459924),
('crisis', 0.46575733836428446),
('photographed', 0.46488852857896512),
('critics', 0.46430560813109778),
('bird', 0.46430560813109778),
('machines', 0.46430560813109778),
('born', 0.46411383518967209),
('detective', 0.4636633473511525),
('higher', 0.46328467899699055),
('remains', 0.46262352194811296),
('inevitable', 0.46262352194811296),
('soviet', 0.4618180446592961),
('ryan', 0.46134556650262099),
('african', 0.46112595521371813),
('smaller', 0.46081520319132935),
('techniques', 0.46052488529119184),
('information', 0.46034171833399862),
('deserved', 0.45999798712841444),
('lynch', 0.45953232937844013),
('spielberg', 0.45953232937844013),
('cynical', 0.45953232937844013),
('tour', 0.45953232937844013),
('francisco', 0.45953232937844013),
('struggle', 0.45911782160048453),
('language', 0.45902121257712653),
('visual', 0.45823514408822852),
('warner', 0.45724137763188427),
('social', 0.45720078250735313),
('reality', 0.45719346885019546),
('hidden', 0.45675840249571492),
('breaking', 0.45601738727099561),
('sometimes', 0.45563021171182794),
('modern', 0.45500247579345005),
('surfing', 0.45425527227759638),
('popular', 0.45410691533051023),
('surprised', 0.4534409399850382),
('follows', 0.45245361754408348),
('keeps', 0.45234869400701483),
('john', 0.4520909494482197),
('mixed', 0.45198512374305722),
('defeat', 0.45198512374305722),
('justice', 0.45142724367280018),
('treasure', 0.45083371313801535),
('presents', 0.44973793178615257),
('years', 0.44919197032104968),
('chief', 0.44895022004790319),
('closely', 0.44701411102103689),
('segments', 0.44701411102103689),
('lose', 0.44658335503763702),
('caine', 0.44628710262841953),
('caught', 0.44610275383999071),
('hamlet', 0.44558510189758965),
('chinese', 0.44507424620321018),
('welcome', 0.44438052435783792),
('birth', 0.44368632092836219),
('represents', 0.44320543609101143),
('puts', 0.44279106572085081),
('visuals', 0.44183275227903923),
('fame', 0.44183275227903923),
('closer', 0.44183275227903923),
('web', 0.44183275227903923),
('criminal', 0.4412745608048752),
('minor', 0.4409224199448939),
('jon', 0.44086703515908027),
('liked', 0.44074991514020723),
('restaurant', 0.44031183943833246),
('de', 0.43983275161237217),
('flaws', 0.43983275161237217),
('searching', 0.4393666597838457),
('rap', 0.43891304217570443),
('light', 0.43884433018199892),
('elizabeth', 0.43872232986464682),
('marry', 0.43861731542506488),
('learned', 0.43825493093115531),
('controversial', 0.43825493093115531),
('oz', 0.43825493093115531),
('slowly', 0.43785660389939979),
('comedic', 0.43721380642274466),
('wayne', 0.43721380642274466),
('thrilling', 0.43721380642274466),
('bridge', 0.43721380642274466),
('married', 0.43658501682196887),
('nazi', 0.4361020775700542),
('murder', 0.4353180712578455),
('physical', 0.4353180712578455),
('johnny', 0.43483971678806865),
('michelle', 0.43445264498141672),
('wallace', 0.43403848055222038),
('comedies', 0.43395706390247063),
('silent', 0.43395706390247063),
('played', 0.43387244114515305),
('international', 0.43363598507486073),
('vision', 0.43286408229627887),
('intelligent', 0.43196704885367099),
('shop', 0.43078291609245434),
('also', 0.43036720209769169),
('levels', 0.4302451371066513),
('miss', 0.43006426712153217),
('movement', 0.4295626596872249),
...]

``````
``````

In [13]:

# words most frequently seen in a review with a "NEGATIVE" label
list(reversed(pos_neg_ratios.most_common()))[0:30]

``````
``````

Out[13]:

[('boll', -4.0778152602708904),
('uwe', -3.9218753018711578),
('seagal', -3.3202501058581921),
('unwatchable', -3.0269848170580955),
('stinker', -2.9876839403711624),
('mst', -2.7753833211707968),
('incoherent', -2.7641396677532537),
('unfunny', -2.5545257844967644),
('waste', -2.4907515123361046),
('blah', -2.4475792789485005),
('horrid', -2.3715779644809971),
('pointless', -2.3451073877136341),
('atrocious', -2.3187369339642556),
('redeeming', -2.2667790015910296),
('prom', -2.2601040980178784),
('drivel', -2.2476029585766928),
('lousy', -2.2118080125207054),
('worst', -2.1930856334332267),
('laughable', -2.172468615469592),
('awful', -2.1385076866397488),
('poorly', -2.1326133844207011),
('wasting', -2.1178155545614512),
('remotely', -2.111046881095167),
('existent', -2.0024805005437076),
('boredom', -1.9241486572738005),
('miserably', -1.9216610938019989),
('sucks', -1.9166645809588516),
('uninspired', -1.9131499212248517),
('lame', -1.9117232884159072),
('insult', -1.9085323769376259)]

``````

# Transforming Text into Numbers

``````

In [14]:

from IPython.display import Image

review = "This was a horrible, terrible movie."

Image(filename='sentiment_network.png')

``````
``````

Out[14]:

``````
``````

In [15]:

review = "The movie was excellent"

Image(filename='sentiment_network_pos.png')

``````
``````

Out[15]:

``````

# Project 2: Creating the Input/Output Data

``````

In [16]:

vocab = set(total_counts.keys())
vocab_size = len(vocab)
print(vocab_size)

``````
``````

74074

``````
``````

In [17]:

list(vocab)

``````
``````

Out[17]:

['',
'munchies',
'replaced',
'scuffles',
'contributed',
'liberation',
'jaffar',
'milhalovitch',
'newsday',
'phalke',
'honeys',
'magruder',
'doping',
'raghubir',
'castulo',
'transcend',
'bulletins',
'bumblers',
'anodyne',
'breakthroughs',
'recommendations',
'suposed',
'sabotages',
'disjunct',
'trekkers',
'giving',
'capitalists',
'linguistics',
'jannings',
'landa',
'looooooooong',
'approximations',
'flashier',
'entitlements',
'miyaan',
'covering',
'frameworks',
'abkani',
'psyches',
'loquacious',
'seeded',
'toledo',
'jasbir',
'karun',
'contemporaneity',
'igenious',
'gropes',
'verikoan',
'cooed',
'flailing',
'rookery',
'sobering',
'avonlea',
'manasota',
'volunteers',
'watcheable',
'ejaculating',
'weaselly',
'cups',
'borg',
'freighted',
'thornbury',
'haliburton',
'joycelyn',
'byambition',
'photograpy',
'iqubal',
'bacri',
'thaw',
'counterpoints',
'camcorder',
'typecast',
'auxiliary',
'ian',
'marca',
'bille',
'neolithic',
'ruptured',
'timpani',
'fab',
'dane',
'hoosiers',
'doddering',
'sarda',
'devolving',
'commander',
'gregory',
'awkward',
'virtue',
'jolson',
'carbide',
'shuddery',
'pastries',
'midsts',
'donell',
'cashes',
'besties',
'vilified',
'infrared',
'gronsky',
'scornful',
'wil',
'premee',
'libbed',
'unrelatable',
'lump',
'lenses',
'candlelit',
'basterds',
'icecap',
'knitting',
'caution',
'atrocity',
'patekar',
'mollecular',
'clausen',
'inauguration',
'dwarfed',
'vampirefilm',
'preclude',
'outstripped',
'dumpty',
'rightness',
'roeg',
'fleshes',
'heezy',
'beack',
'lockheed',
'tenny',
'nasal',
'hickham',
'pere',
'spilled',
'masterfully',
'borowczyk',
'ackerman',
'rescore',
'screams',
'ler',
'luger',
'plough',
'argonauts',
'balsamic',
'belive',
'ridiculousness',
'caselli',
'surly',
'bloodrayne',
'minutiae',
'unionism',
'dietrichesque',
'rapprochement',
'warn',
'oblast',
'pinched',
'sleepers',
'yeller',
'repulsion',
'retentive',
'thunk',
'mehta',
'blank',
'rear',
'venezia',
'bowls',
'rea',
'sissies',
'hornomania',
'harper',
'unbearded',
'lassie',
'viciente',
'reassuringly',
'theses',
'involvement',
'voorhees',
'mummy',
'uden',
'springerland',
'lbeck',
'parasarolophus',
'plaggy',
'wether',
'vangard',
'marseille',
'swabby',
'cha',
'morisette',
'hoodwinks',
'capaldi',
'tenets',
'enthusiastic',
'communicating',
'preggo',
'wiliams',
'convened',
'quien',
'exoskeleton',
'microwave',
'kalamazoo',
'giulia',
'qt',
'hubschmid',
'reenberg',
'margins',
'voyeurism',
'provisions',
'relate',
'torsos',
'expansionist',
'grandee',
'thalassa',
'groundless',
'anglicized',
'spasms',
'untucked',
'resting',
'pentecostal',
'averages',
'distinguishes',
'resurfacing',
'heusen',
'fitter',
'consecutively',
'line',
'resemble',
'modular',
'vulvas',
'rollercoaster',
'superdome',
'eod',
'audiencemembers',
'chickens',
'hendersons',
'leeli',
'gazzo',
'mclaughlin',
'ralf',
'telecommunicational',
'secretes',
'towel',
'connely',
'sargeant',
'gestured',
'quisessential',
'silvestar',
'secede',
'amanda',
'villard',
'rajah',
'embarassing',
'golightly',
'judge',
'implementation',
'takeoff',
'edulcorated',
'aleck',
'flacks',
'verily',
'kroona',
'mindfck',
'uganda',
'inward',
'mutir',
'p',
'obsessives',
'masters',
'booked',
'oland',
'depravities',
'letterboxed',
'apporiate',
'godby',
'mckoy',
'clockwatchers',
'carasso',
'duncan',
'comatose',
'compass',
'vonda',
'unmanned',
'incongruities',
'hoffer',
'embraceable',
'hype',
'vandenberg',
'aaker',
'metamorphoses',
'karishma',
'liposuction',
'yoji',
'sempre',
'mystified',
'sandoval',
'fireexplosionsgreat',
'dratic',
'arrrghhhhhhs',
'sociopathic',
'archived',
'blackie',
'paraso',
'wetters',
'amlie',
'arbitrariness',
'pint',
'enunciated',
'messily',
'strawberries',
'triumf',
'lifeguard',
'physical',
'surrah',
'paedophiliac',
'archambault',
'paragraphs',
'showdowns',
'carraway',
'propeganda',
'lameness',
'attractions',
'resignation',
'ilva',
'abruptness',
'vancouver',
'outgrown',
'bushel',
'exceptions',
'hanka',
'ounce',
'crab',
'toyoko',
'directional',
'mnica',
'chethe',
'playstation',
'figueroa',
'sorted',
'tolland',
'shortcut',
'distastefully',
'karloff',
'greedo',
'date',
'misquotes',
'debauched',
'extravagant',
'miriam',
'nuts',
'vir',
'malarky',
'gabe',
'sarlacc',
'itself',
'knickers',
'gueule',
'publishers',
'oozin',
'ardelean',
'damiano',
'wb',
'bjork',
'imm',
'rarer',
'seventeenth',
'preconception',
'boundless',
'matthaw',
'fanfan',
'beacon',
'wills',
'ishaak',
'commotion',
'complying',
'nicodemus',
'resided',
'heston',
'waxman',
'honcho',
'cooperated',
'dandified',
'scripted',
'receding',
'congratulatory',
'ineptness',
'cocoran',
'hemmed',
'loyalists',
'scavenger',
'unbind',
'waters',
'moviewise',
'ankylosaurus',
'pseudonyms',
'acrimony',
'subordinate',
'teenagers',
'solondz',
'tormentor',
'rawhide',
'shagger',
'concentric',
'tamed',
'herzegowina',
'slippery',
'gruenberg',
'suresh',
'stoumen',
'michol',
'sensualists',
'seamlessly',
'kabuki',
'katy',
'dassin',
'muy',
'tytus',
'redid',
'superstitions',
'nekojiru',
'tutu',
'stepper',
'cloned',
'interfering',
'bins',
'contactable',
'channeled',
'cooling',
'secombe',
'redistribute',
'ishwar',
'missable',
'sacredness',
'dirs',
'beefheart',
'offsuit',
'munsters',
'entanglement',
'assessment',
'symbiotic',
'eighteen',
'ominous',
'dorsal',
'sho',
'astros',
'braces',
'moimeme',
'bigfoot',
'luthor',
'unability',
'pressberger',
'textually',
'gpm',
'mohnish',
'doh',
'folds',
'levinspiel',
'esque',
'chen',
'astrid',
'scepticism',
'corp',
'cautionary',
'futon',
'sinese',
'schlesinger',
'strasberg',
'verbosity',
'canoing',
'bayonne',
'protanganists',
'dressing',
'inclined',
'unearp',
'involvements',
'unglamourous',
'shnieder',
'scrip',
'baritone',
'borat',
'pimpernel',
'sortee',
'conceptualized',
'kikuno',
'sedate',
'naish',
'sackhoff',
'sculpture',
'luthien',
'harangue',
'tentpoles',
'nightsky',
'walpurgis',
'dorkish',
'knifed',
'inherits',
'betti',
'screwball',
'fffrreeaakkyy',
'eager',
'imdb',
'hatosy',
'druid',
'hatstand',
'scoping',
'gaye',
'muff',
'chiselled',
'plonk',
'behemoths',
'fainted',
'quantitative',
'dunham',
'zinnemann',
'hynde',
'bookworm',
'illusion',
'corben',
'johannsen',
'horseplay',
'hellriders',
'hitter',
'mcdougall',
'falk',
'mechanisms',
'hardcover',
'doest',
'soothe',
'drouin',
'ctv',
'rehabbed',
'kronfeld',
'invention',
'reclusive',
'showbiz',
'bertolucci',
'plaster',
'orgasms',
'batali',
'kruk',
'extremite',
'settlefor',
'juicier',
'attended',
'barbed',
'waterworks',
'preparation',
'condo',
'voicing',
'desiging',
'effectual',
'bumble',
'rejectable',
'faith',
'celario',
'flimsily',
'juliette',
'sprawling',
'swanston',
'piscipo',
'rougher',
'snuggly',
'mcnally',
'reassembled',
'gunshots',
'unescapably',
'changings',
'chromatic',
'uncoordinated',
'inexperienced',
'stylist',
'earthy',
'winchester',
'lifting',
'shte',
'ivin',
'petunia',
'casual',
'debbie',
'symbolically',
'mindful',
'bosox',
'investing',
'pai',
'hastens',
'pontificating',
'creepinessthe',
'indignities',
'inventions',
'beltway',
'metoo',
'ouroboros',
'bakhtyari',
'goku',
'pettit',
'loosen',
'hrolfgar',
'conny',
'mockumentaries',
'decoding',
'deyniacs',
'slickest',
'karsis',
'energised',
'descovered',
'baptised',
'mambazo',
'deb',
'memorably',
'rehearsed',
'hedron',
'gun',
'disparity',
'bear',
'scarefest',
'dryer',
'hospitalization',
'responded',
'boudoir',
'shawlee',
'laurence',
'meningitis',
'midwestern',
'moviesuntil',
'glasgow',
'learns',
'terrifically',
'antagonists',
'gleefulness',
'aire',
'ejection',
'nolo',
'dilemma',
'souza',
'downside',
'hobart',
'tongued',
'op',
'considerable',
'juvenile',
'pantangeli',
'whirling',
'lacked',
'lisbon',
'hatchway',
'boskovich',
'guinneth',
'astricky',
'kukuanaland',
'thudding',
'cinma',
'jerilderie',
'crediting',
'hideko',
'booooooooo',
'lavin',
'stiltedness',
'numbness',
'macer',
'timidity',
'heartbreaks',
'litvak',
'defects',
'shallower',
'abbasi',
'namers',
'bypassing',
'rewind',
'mgr',
'clarksberg',
'participants',
'dibler',
'glb',
'reaaaally',
'later',
'squished',
'ahista',
'mined',
'aborting',
'uninitiated',
'shahan',
'kurita',
'billingsley',
'kuwait',
'imperioli',
'tilmac',
'dishonorable',
'antibodies',
'despondency',
'kotero',
'appointment',
'bystander',
'complications',
'shagged',
'blackfoot',
'poutily',
'requested',
'holland',
'religion',
'michio',
'isabelwho',
'capas',
'nash',
'hanks',
'snaggle',
'hawkes',
'frightening',
'diabolism',
'bicker',
'brigitte',
'decipher',
'hells',
'decisionsin',
'tobikage',
'sluggish',
'assertiveness',
'fargo',
'pretences',
'visionary',
'poignant',
'affectionnates',
'lewton',
'lampooned',
'ukraine',
'webber',
'zukovic',
'jymn',
'deemed',
'originalbut',
'tempo',
'avoid',
'cravings',
'eurail',
'neff',
'beeblebrox',
'wichita',
'elephantsfar',
'morricones',
'squelched',
'ogres',
'allover',
'jurrasic',
'reside',
'endangered',
'shiko',
'caf',
'glancingly',
'desperately',
'villages',
'herngren',
'keys',
'hermitage',
'retaining',
'uhhhh',
'peww',
'asthma',
'coxsucker',
'cannibals',
'filmcritics',
'malay',
'tarentino',
'propagated',
'phyton',
'vacationing',
'shor',
'dormael',
'essay',
'overdone',
'fairuza',
'ltas',
'rivero',
'elas',
'saldana',
'howes',
'possibly',
'zatichi',
'tellers',
'goddesses',
'gudrun',
'mention',
'dehumanize',
'knoller',
'shanghainese',
'rediscovery',
'dearies',
'saturates',
'patriarchy',
'hearby',
'misshappenings',
'willie',
'soothing',
'omelet',
'sunning',
'troops',
'grabbed',
'tohma',
'paparazzi',
'ali',
'combos',
'refinery',
'formation',
'crabs',
'registration',
'cpo',
'chimera',
'aisles',
'uniformly',
'rosalione',
'payoffs',
'astride',
'rabid',
'firsts',
'beckon',
'bucke',
'pavle',
'ddlj',
'hara',
'orifices',
'certificates',
'raking',
'intensely',
'obs',
'timm',
'dunkin',
'goaul',
'eck',
'backers',
'alphabet',
'magicfest',
'loudness',
'andrea',
'morland',
'rhoda',
'kora',
'folowing',
'delight',
'eeriness',
'aeneid',
'pollutions',
'vaseekaramaana',
'restrooms',
'cowgirl',
'shrinkwrap',
'plantage',
'childless',
'iqs',
'strange',
'pumbaa',
'hisself',
'shoo',
'heartrenching',
'enlarges',
'insurance',
'janine',
'jox',
'augustus',
'etzel',
'waldsterben',
'donated',
'infatuated',
'exploitatively',
'busting',
'calamine',
'tesmacher',
'unfit',
'alones',
'spinetingling',
'preliterate',
'lujn',
'redd',
'patricia',
'eurohorror',
'bucolic',
'smokes',
'inflaming',
'referee',
'sequenes',
'luise',
'droids',
'paisley',
'perseverence',
'boreanaz',
'maoist',
'hoke',
'awwww',
'mattia',
'perpetuate',
'bossman',
'match',
'nikhilji',
'maples',
'barjatya',
'legitimacy',
'clumped',
'mortally',
'robotic',
'herculean',
'haley',
'abercrombie',
'ansonia',
'althea',
'pressure',
'canceling',
'publicdomain',
'decked',
'tughlaq',
'hawke',
'golddigger',
'macbeth',
'withering',
'nayland',
'constantly',
'drapery',
'fckd',
'underlining',
'insure',
'harmony',
'int',
'bipolarity',
'roeh',
'batwoman',
'hotd',
'seus',
'nonfictional',
'windmills',
'squandering',
'zenda',
'fowarded',
'futures',
'mardi',
'jell',
'remembrance',
'amos',
'wendell',
'yannis',
'globes',
'chevalia',
'knight',
'tajmahal',
'oceanic',
'easygoing',
'daze',
'yakmallah',
'nosedived',
'ochoa',
'derated',
'thief',
'rennes',
'retells',
'sotd',
'mcdonell',
'monger',
'thicker',
'peasants',
'speakman',
'torpedos',
'miamis',
'bilal',
'enachanted',
'brava',
'marano',
'oscars',
'silicon',
'pudgy',
'cucacha',
'institutionalization',
'stinson',
'brice',
'karamazov',
'tsutomu',
'willingness',
'lasted',
'denigrati',
'dearable',
...]

``````
``````

In [18]:

import numpy as np

layer_0 = np.zeros((1,vocab_size))
layer_0

``````
``````

Out[18]:

array([[ 0.,  0.,  0., ...,  0.,  0.,  0.]])

``````
``````

In [19]:

from IPython.display import Image
Image(filename='sentiment_network.png')

``````
``````

Out[19]:

``````
``````

In [20]:

word2index = {}

for i,word in enumerate(vocab):
word2index[word] = i
word2index

``````
``````

Out[20]:

{'': 0,
'munchies': 1,
'replaced': 2,
'scuffles': 3,
'contributed': 4,
'liberation': 5,
'jaffar': 6,
'milhalovitch': 8,
'newsday': 9,
'phalke': 10,
'honeys': 11,
'magruder': 12,
'doping': 13,
'raghubir': 14,
'castulo': 15,
'transcend': 16,
'bulletins': 17,
'bumblers': 18,
'anodyne': 19,
'breakthroughs': 20,
'recommendations': 21,
'suposed': 22,
'sabotages': 23,
'disjunct': 24,
'trekkers': 25,
'giving': 26,
'capitalists': 27,
'linguistics': 28,
'jannings': 29,
'landa': 30,
'looooooooong': 31,
'approximations': 32,
'flashier': 33,
'entitlements': 34,
'miyaan': 35,
'covering': 36,
'frameworks': 37,
'abkani': 38,
'psyches': 39,
'loquacious': 40,
'seeded': 41,
'toledo': 42,
'jasbir': 43,
'karun': 44,
'contemporaneity': 45,
'igenious': 46,
'gropes': 47,
'verikoan': 48,
'cooed': 49,
'flailing': 50,
'rookery': 51,
'sobering': 52,
'avonlea': 53,
'manasota': 54,
'volunteers': 55,
'watcheable': 56,
'ejaculating': 57,
'weaselly': 58,
'cups': 59,
'borg': 60,
'freighted': 61,
'thornbury': 62,
'haliburton': 63,
'joycelyn': 64,
'byambition': 65,
'photograpy': 66,
'iqubal': 67,
'bacri': 68,
'thaw': 69,
'counterpoints': 70,
'camcorder': 71,
'typecast': 72,
'auxiliary': 73,
'ian': 74,
'marca': 75,
'bille': 76,
'neolithic': 77,
'ruptured': 78,
'timpani': 79,
'fab': 80,
'dane': 81,
'hoosiers': 82,
'doddering': 83,
'sarda': 84,
'devolving': 85,
'commander': 86,
'gregory': 87,
'awkward': 88,
'virtue': 89,
'jolson': 90,
'carbide': 91,
'shuddery': 92,
'pastries': 93,
'midsts': 94,
'donell': 95,
'cashes': 96,
'besties': 98,
'vilified': 99,
'infrared': 100,
'gronsky': 101,
'scornful': 102,
'wil': 103,
'premee': 104,
'libbed': 105,
'unrelatable': 106,
'lump': 107,
'lenses': 108,
'candlelit': 109,
'basterds': 110,
'icecap': 111,
'knitting': 112,
'caution': 113,
'atrocity': 114,
'patekar': 115,
'mollecular': 116,
'clausen': 117,
'inauguration': 118,
'dwarfed': 119,
'vampirefilm': 120,
'preclude': 121,
'outstripped': 122,
'dumpty': 123,
'rightness': 124,
'roeg': 125,
'fleshes': 126,
'heezy': 127,
'beack': 128,
'lockheed': 129,
'tenny': 130,
'nasal': 131,
'hickham': 132,
'pere': 133,
'spilled': 134,
'masterfully': 135,
'borowczyk': 136,
'ackerman': 137,
'rescore': 138,
'screams': 139,
'ler': 140,
'luger': 141,
'plough': 142,
'argonauts': 143,
'balsamic': 144,
'belive': 145,
'ridiculousness': 146,
'caselli': 147,
'surly': 148,
'bloodrayne': 149,
'minutiae': 150,
'unionism': 151,
'dietrichesque': 152,
'rapprochement': 153,
'warn': 154,
'oblast': 155,
'pinched': 156,
'sleepers': 157,
'yeller': 158,
'repulsion': 159,
'retentive': 160,
'thunk': 161,
'mehta': 162,
'blank': 163,
'rear': 164,
'venezia': 165,
'bowls': 166,
'rea': 167,
'sissies': 168,
'hornomania': 169,
'harper': 170,
'unbearded': 171,
'lassie': 172,
'viciente': 173,
'reassuringly': 174,
'theses': 175,
'involvement': 176,
'voorhees': 177,
'mummy': 178,
'uden': 179,
'springerland': 180,
'lbeck': 181,
'parasarolophus': 182,
'plaggy': 183,
'wether': 184,
'vangard': 185,
'marseille': 186,
'swabby': 187,
'cha': 188,
'morisette': 189,
'hoodwinks': 190,
'capaldi': 192,
'tenets': 193,
'enthusiastic': 194,
'communicating': 195,
'preggo': 196,
'wiliams': 197,
'convened': 198,
'quien': 199,
'exoskeleton': 200,
'microwave': 201,
'kalamazoo': 202,
'giulia': 203,
'qt': 204,
'hubschmid': 205,
'reenberg': 206,
'margins': 207,
'voyeurism': 208,
'provisions': 209,
'relate': 210,
'torsos': 211,
'expansionist': 212,
'grandee': 213,
'thalassa': 214,
'groundless': 215,
'anglicized': 216,
'spasms': 217,
'untucked': 218,
'resting': 219,
'pentecostal': 220,
'averages': 221,
'distinguishes': 222,
'resurfacing': 223,
'heusen': 224,
'fitter': 225,
'consecutively': 226,
'line': 227,
'resemble': 228,
'modular': 229,
'vulvas': 230,
'rollercoaster': 232,
'superdome': 233,
'eod': 234,
'audiencemembers': 235,
'chickens': 236,
'hendersons': 237,
'leeli': 238,
'gazzo': 239,
'mclaughlin': 240,
'ralf': 241,
'telecommunicational': 242,
'secretes': 243,
'towel': 244,
'connely': 245,
'sargeant': 246,
'gestured': 247,
'quisessential': 248,
'silvestar': 249,
'secede': 250,
'amanda': 251,
'villard': 252,
'rajah': 253,
'embarassing': 254,
'golightly': 255,
'judge': 256,
'implementation': 257,
'takeoff': 258,
'edulcorated': 259,
'aleck': 260,
'flacks': 261,
'verily': 262,
'kroona': 263,
'mindfck': 264,
'uganda': 265,
'inward': 266,
'mutir': 267,
'p': 268,
'obsessives': 269,
'masters': 270,
'booked': 271,
'oland': 272,
'depravities': 273,
'letterboxed': 274,
'apporiate': 276,
'godby': 277,
'mckoy': 278,
'clockwatchers': 279,
'carasso': 280,
'duncan': 281,
'comatose': 282,
'compass': 283,
'vonda': 284,
'unmanned': 285,
'incongruities': 286,
'hoffer': 287,
'embraceable': 288,
'hype': 289,
'vandenberg': 290,
'aaker': 291,
'metamorphoses': 292,
'karishma': 293,
'liposuction': 294,
'yoji': 295,
'sempre': 296,
'mystified': 297,
'sandoval': 298,
'fireexplosionsgreat': 300,
'dratic': 301,
'arrrghhhhhhs': 302,
'sociopathic': 303,
'archived': 304,
'blackie': 305,
'paraso': 306,
'wetters': 307,
'amlie': 308,
'arbitrariness': 309,
'pint': 310,
'enunciated': 311,
'messily': 312,
'strawberries': 313,
'triumf': 314,
'lifeguard': 315,
'physical': 316,
'surrah': 317,
'paedophiliac': 318,
'archambault': 319,
'paragraphs': 320,
'showdowns': 321,
'carraway': 322,
'propeganda': 323,
'lameness': 324,
'attractions': 325,
'resignation': 326,
'ilva': 327,
'abruptness': 328,
'vancouver': 329,
'outgrown': 330,
'bushel': 333,
'exceptions': 334,
'hanka': 335,
'ounce': 336,
'crab': 337,
'toyoko': 338,
'directional': 339,
'mnica': 340,
'chethe': 341,
'playstation': 342,
'figueroa': 343,
'sorted': 344,
'tolland': 345,
'shortcut': 346,
'distastefully': 347,
'karloff': 348,
'greedo': 349,
'date': 350,
'misquotes': 352,
'debauched': 353,
'extravagant': 354,
'miriam': 355,
'nuts': 356,
'vir': 357,
'malarky': 358,
'gabe': 359,
'sarlacc': 360,
'itself': 361,
'knickers': 362,
'gueule': 363,
'publishers': 364,
'oozin': 365,
'ardelean': 366,
'damiano': 367,
'wb': 368,
'bjork': 370,
'imm': 371,
'rarer': 372,
'seventeenth': 373,
'preconception': 374,
'boundless': 375,
'matthaw': 376,
'fanfan': 377,
'beacon': 378,
'wills': 379,
'ishaak': 380,
'commotion': 381,
'complying': 382,
'nicodemus': 383,
'resided': 384,
'heston': 385,
'waxman': 386,
'honcho': 387,
'cooperated': 388,
'dandified': 389,
'scripted': 390,
'receding': 392,
'congratulatory': 393,
'ineptness': 394,
'cocoran': 395,
'hemmed': 396,
'loyalists': 397,
'scavenger': 398,
'unbind': 399,
'waters': 400,
'moviewise': 401,
'ankylosaurus': 402,
'pseudonyms': 403,
'acrimony': 404,
'subordinate': 405,
'teenagers': 406,
'solondz': 407,
'tormentor': 408,
'rawhide': 409,
'shagger': 410,
'concentric': 411,
'tamed': 412,
'herzegowina': 413,
'slippery': 414,
'gruenberg': 415,
'suresh': 416,
'stoumen': 417,
'michol': 418,
'sensualists': 419,
'seamlessly': 420,
'kabuki': 421,
'katy': 422,
'dassin': 423,
'muy': 424,
'tytus': 425,
'redid': 426,
'superstitions': 427,
'nekojiru': 428,
'tutu': 429,
'stepper': 430,
'cloned': 431,
'interfering': 432,
'bins': 433,
'contactable': 434,
'channeled': 435,
'cooling': 436,
'secombe': 437,
'redistribute': 438,
'ishwar': 439,
'missable': 440,
'sacredness': 441,
'dirs': 442,
'beefheart': 443,
'offsuit': 444,
'munsters': 445,
'entanglement': 446,
'assessment': 447,
'symbiotic': 448,
'eighteen': 449,
'ominous': 450,
'dorsal': 451,
'sho': 452,
'astros': 453,
'braces': 454,
'moimeme': 455,
'bigfoot': 456,
'luthor': 457,
'unability': 458,
'pressberger': 459,
'textually': 460,
'gpm': 461,
'mohnish': 462,
'doh': 463,
'folds': 464,
'levinspiel': 465,
'esque': 466,
'chen': 467,
'astrid': 469,
'scepticism': 470,
'corp': 471,
'cautionary': 472,
'futon': 473,
'sinese': 474,
'schlesinger': 475,
'strasberg': 476,
'verbosity': 477,
'canoing': 478,
'bayonne': 479,
'protanganists': 480,
'dressing': 481,
'inclined': 482,
'unearp': 484,
'involvements': 485,
'unglamourous': 486,
'shnieder': 487,
'scrip': 488,
'baritone': 489,
'borat': 490,
'pimpernel': 491,
'sortee': 493,
'conceptualized': 494,
'kikuno': 495,
'sedate': 496,
'naish': 497,
'sackhoff': 498,
'sculpture': 499,
'luthien': 500,
'harangue': 501,
'tentpoles': 502,
'nightsky': 503,
'walpurgis': 505,
'dorkish': 506,
'knifed': 507,
'inherits': 508,
'betti': 509,
'screwball': 510,
'fffrreeaakkyy': 511,
'eager': 512,
'imdb': 513,
'hatosy': 514,
'druid': 515,
'hatstand': 516,
'scoping': 517,
'gaye': 518,
'muff': 519,
'chiselled': 520,
'plonk': 521,
'behemoths': 522,
'fainted': 523,
'quantitative': 524,
'dunham': 526,
'zinnemann': 527,
'hynde': 528,
'bookworm': 529,
'illusion': 530,
'corben': 531,
'johannsen': 532,
'horseplay': 533,
'hellriders': 534,
'hitter': 535,
'mcdougall': 536,
'falk': 537,
'mechanisms': 538,
'hardcover': 539,
'doest': 540,
'soothe': 541,
'drouin': 542,
'ctv': 543,
'rehabbed': 544,
'kronfeld': 545,
'invention': 546,
'reclusive': 547,
'showbiz': 548,
'bertolucci': 549,
'plaster': 550,
'orgasms': 551,
'batali': 552,
'kruk': 553,
'extremite': 554,
'settlefor': 555,
'juicier': 556,
'attended': 557,
'barbed': 558,
'waterworks': 559,
'preparation': 560,
'condo': 561,
'voicing': 562,
'desiging': 563,
'effectual': 564,
'bumble': 565,
'rejectable': 566,
'faith': 567,
'celario': 569,
'flimsily': 570,
'juliette': 571,
'sprawling': 572,
'swanston': 573,
'piscipo': 574,
'rougher': 575,
'snuggly': 576,
'mcnally': 577,
'reassembled': 578,
'gunshots': 579,
'unescapably': 580,
'changings': 581,
'chromatic': 582,
'uncoordinated': 583,
'inexperienced': 584,
'stylist': 585,
'earthy': 586,
'winchester': 587,
'lifting': 588,
'shte': 589,
'ivin': 590,
'petunia': 591,
'casual': 592,
'debbie': 593,
'symbolically': 594,
'mindful': 595,
'bosox': 596,
'investing': 597,
'pai': 598,
'hastens': 599,
'pontificating': 600,
'creepinessthe': 601,
'indignities': 602,
'inventions': 603,
'beltway': 604,
'metoo': 605,
'ouroboros': 606,
'bakhtyari': 608,
'goku': 609,
'pettit': 610,
'loosen': 611,
'hrolfgar': 612,
'conny': 613,
'mockumentaries': 614,
'decoding': 615,
'deyniacs': 616,
'slickest': 617,
'karsis': 618,
'energised': 619,
'descovered': 620,
'baptised': 621,
'mambazo': 622,
'deb': 623,
'memorably': 624,
'rehearsed': 625,
'hedron': 626,
'gun': 627,
'disparity': 628,
'bear': 629,
'scarefest': 630,
'dryer': 631,
'hospitalization': 632,
'responded': 633,
'boudoir': 634,
'shawlee': 635,
'laurence': 636,
'meningitis': 637,
'midwestern': 638,
'moviesuntil': 639,
'glasgow': 640,
'learns': 641,
'terrifically': 642,
'antagonists': 643,
'gleefulness': 644,
'aire': 645,
'ejection': 646,
'nolo': 647,
'dilemma': 648,
'souza': 649,
'downside': 650,
'hobart': 651,
'tongued': 652,
'op': 653,
'considerable': 654,
'juvenile': 655,
'pantangeli': 656,
'whirling': 657,
'lacked': 658,
'lisbon': 659,
'hatchway': 660,
'boskovich': 661,
'guinneth': 662,
'astricky': 663,
'kukuanaland': 664,
'thudding': 665,
'cinma': 666,
'jerilderie': 667,
'crediting': 668,
'hideko': 669,
'booooooooo': 670,
'lavin': 671,
'stiltedness': 672,
'numbness': 673,
'macer': 674,
'timidity': 675,
'heartbreaks': 676,
'litvak': 677,
'defects': 678,
'shallower': 679,
'abbasi': 680,
'namers': 681,
'bypassing': 682,
'rewind': 683,
'mgr': 684,
'clarksberg': 685,
'participants': 686,
'dibler': 687,
'glb': 688,
'reaaaally': 689,
'later': 690,
'squished': 691,
'ahista': 692,
'mined': 694,
'aborting': 695,
'uninitiated': 696,
'shahan': 697,
'kurita': 699,
'billingsley': 700,
'kuwait': 701,
'imperioli': 702,
'tilmac': 703,
'dishonorable': 704,
'antibodies': 705,
'despondency': 706,
'kotero': 707,
'appointment': 708,
'bystander': 709,
'complications': 710,
'shagged': 712,
'blackfoot': 713,
'poutily': 714,
'requested': 715,
'holland': 716,
'religion': 717,
'michio': 718,
'isabelwho': 719,
'capas': 720,
'nash': 721,
'hanks': 722,
'snaggle': 723,
'hawkes': 724,
'frightening': 725,
'diabolism': 726,
'bicker': 727,
'brigitte': 728,
'decipher': 729,
'hells': 730,
'decisionsin': 731,
'tobikage': 732,
'sluggish': 733,
'assertiveness': 734,
'fargo': 735,
'pretences': 736,
'visionary': 737,
'poignant': 738,
'affectionnates': 739,
'lewton': 740,
'lampooned': 741,
'ukraine': 742,
'webber': 743,
'zukovic': 745,
'jymn': 746,
'deemed': 747,
'originalbut': 748,
'tempo': 749,
'avoid': 750,
'cravings': 751,
'eurail': 752,
'neff': 753,
'beeblebrox': 754,
'wichita': 755,
'elephantsfar': 756,
'morricones': 757,
'squelched': 758,
'ogres': 759,
'allover': 760,
'jurrasic': 761,
'reside': 762,
'endangered': 763,
'shiko': 764,
'caf': 765,
'glancingly': 766,
'desperately': 767,
'villages': 768,
'herngren': 769,
'keys': 771,
'hermitage': 772,
'retaining': 774,
'uhhhh': 775,
'peww': 776,
'asthma': 777,
'coxsucker': 778,
'cannibals': 779,
'filmcritics': 780,
'malay': 781,
'tarentino': 782,
'propagated': 783,
'phyton': 784,
'vacationing': 785,
'shor': 786,
'dormael': 787,
'essay': 788,
'overdone': 789,
'fairuza': 790,
'ltas': 791,
'rivero': 792,
'elas': 793,
'saldana': 794,
'howes': 795,
'possibly': 796,
'zatichi': 797,
'tellers': 798,
'goddesses': 799,
'gudrun': 800,
'mention': 801,
'dehumanize': 802,
'knoller': 803,
'shanghainese': 804,
'rediscovery': 805,
'dearies': 806,
'saturates': 807,
'patriarchy': 808,
'hearby': 809,
'misshappenings': 810,
'willie': 811,
'soothing': 812,
'omelet': 813,
'sunning': 814,
'troops': 815,
'grabbed': 816,
'tohma': 817,
'paparazzi': 819,
'ali': 820,
'combos': 821,
'refinery': 822,
'formation': 823,
'crabs': 824,
'registration': 825,
'cpo': 826,
'chimera': 827,
'aisles': 828,
'uniformly': 829,
'rosalione': 830,
'payoffs': 831,
'astride': 832,
'rabid': 833,
'firsts': 834,
'beckon': 835,
'bucke': 836,
'pavle': 837,
'ddlj': 838,
'hara': 839,
'orifices': 840,
'certificates': 841,
'raking': 842,
'intensely': 843,
'obs': 844,
'timm': 845,
'dunkin': 846,
'goaul': 847,
'eck': 848,
'backers': 849,
'alphabet': 850,
'magicfest': 851,
'loudness': 852,
'andrea': 853,
'morland': 854,
'rhoda': 855,
'kora': 856,
'folowing': 858,
'delight': 859,
'eeriness': 860,
'aeneid': 861,
'pollutions': 862,
'vaseekaramaana': 864,
'restrooms': 865,
'cowgirl': 866,
'shrinkwrap': 867,
'plantage': 868,
'childless': 869,
'iqs': 870,
'strange': 871,
'pumbaa': 872,
'hisself': 873,
'shoo': 874,
'heartrenching': 875,
'enlarges': 876,
'insurance': 877,
'janine': 878,
'jox': 879,
'augustus': 880,
'etzel': 881,
'waldsterben': 882,
'donated': 883,
'infatuated': 884,
'exploitatively': 885,
'busting': 886,
'calamine': 887,
'tesmacher': 888,
'unfit': 889,
'alones': 890,
'spinetingling': 891,
'preliterate': 892,
'lujn': 893,
'redd': 894,
'patricia': 895,
'eurohorror': 896,
'bucolic': 897,
'smokes': 898,
'inflaming': 899,
'referee': 900,
'sequenes': 901,
'luise': 902,
'droids': 903,
'paisley': 904,
'perseverence': 905,
'boreanaz': 906,
'maoist': 907,
'hoke': 908,
'awwww': 909,
'mattia': 910,
'perpetuate': 911,
'bossman': 912,
'match': 913,
'nikhilji': 914,
'maples': 915,
'barjatya': 916,
'legitimacy': 917,
'clumped': 918,
'mortally': 919,
'robotic': 920,
'herculean': 921,
'haley': 922,
'abercrombie': 923,
'ansonia': 924,
'althea': 925,
'pressure': 926,
'canceling': 927,
'publicdomain': 928,
'decked': 929,
'tughlaq': 930,
'hawke': 931,
'golddigger': 932,
'macbeth': 933,
'withering': 934,
'nayland': 935,
'constantly': 936,
'drapery': 937,
'fckd': 938,
'underlining': 939,
'insure': 940,
'harmony': 941,
'int': 942,
'bipolarity': 943,
'roeh': 944,
'batwoman': 945,
'hotd': 946,
'seus': 947,
'nonfictional': 948,
'windmills': 949,
'squandering': 951,
'zenda': 952,
'fowarded': 953,
'futures': 954,
'mardi': 955,
'jell': 956,
'remembrance': 957,
'amos': 958,
'wendell': 959,
'yannis': 960,
'globes': 961,
'chevalia': 962,
'knight': 963,
'tajmahal': 964,
'oceanic': 965,
'easygoing': 966,
'daze': 967,
'yakmallah': 968,
'nosedived': 969,
'ochoa': 970,
'derated': 971,
'thief': 972,
'rennes': 973,
'retells': 974,
'sotd': 975,
'mcdonell': 976,
'monger': 977,
'thicker': 978,
'peasants': 979,
'speakman': 980,
'torpedos': 981,
'miamis': 982,
'bilal': 983,
'enachanted': 984,
'brava': 985,
'marano': 986,
'oscars': 987,
'silicon': 988,
'pudgy': 989,
'cucacha': 990,
'institutionalization': 991,
'stinson': 992,
'brice': 993,
'karamazov': 994,
'tsutomu': 995,
'willingness': 996,
'lasted': 997,
'denigrati': 998,
'dearable': 999,
...}

``````
``````

In [21]:

def update_input_layer(review):

global layer_0

# clear out previous state, reset the layer to be all 0s
layer_0 *= 0
for word in review.split(" "):
layer_0[0][word2index[word]] += 1

update_input_layer(reviews[0])

``````
``````

In [22]:

layer_0

``````
``````

Out[22]:

array([[ 18.,   0.,   0., ...,   0.,   0.,   0.]])

``````
``````

In [23]:

def get_target_for_label(label):
if(label == 'POSITIVE'):
return 1
else:
return 0

``````
``````

In [24]:

labels[0]

``````
``````

Out[24]:

'POSITIVE'

``````
``````

In [25]:

get_target_for_label(labels[0])

``````
``````

Out[25]:

1

``````
``````

In [26]:

labels[1]

``````
``````

Out[26]:

'NEGATIVE'

``````
``````

In [27]:

get_target_for_label(labels[1])

``````
``````

Out[27]:

0

``````

# Project 3: Building a Neural Network

• 3 layer neural network
• no non-linearity in hidden layer
• use our functions to create the training data
• create a "pre_process_data" function to create vocabulary for our training data generating functions
• modify "train" to train over the entire corpus

### Where to Get Help if You Need it

``````

In [28]:

import time
import sys
import numpy as np

# Let's tweak our network from before to model these phenomena
class SentimentNetwork:
def __init__(self, reviews,labels,hidden_nodes = 10, learning_rate = 0.1):

# set our random number generator
np.random.seed(1)

self.pre_process_data(reviews, labels)

self.init_network(len(self.review_vocab),hidden_nodes, 1, learning_rate)

def pre_process_data(self, reviews, labels):

review_vocab = set()
for review in reviews:
for word in review.split(" "):
self.review_vocab = list(review_vocab)

label_vocab = set()
for label in labels:

self.label_vocab = list(label_vocab)

self.review_vocab_size = len(self.review_vocab)
self.label_vocab_size = len(self.label_vocab)

self.word2index = {}
for i, word in enumerate(self.review_vocab):
self.word2index[word] = i

self.label2index = {}
for i, label in enumerate(self.label_vocab):
self.label2index[label] = i

def init_network(self, input_nodes, hidden_nodes, output_nodes, learning_rate):
# Set number of nodes in input, hidden and output layers.
self.input_nodes = input_nodes
self.hidden_nodes = hidden_nodes
self.output_nodes = output_nodes

# Initialize weights
self.weights_0_1 = np.zeros((self.input_nodes,self.hidden_nodes))

self.weights_1_2 = np.random.normal(0.0, self.output_nodes**-0.5,
(self.hidden_nodes, self.output_nodes))

self.learning_rate = learning_rate

self.layer_0 = np.zeros((1,input_nodes))

def update_input_layer(self,review):

# clear out previous state, reset the layer to be all 0s
self.layer_0 *= 0
for word in review.split(" "):
if(word in self.word2index.keys()):
self.layer_0[0][self.word2index[word]] += 1

def get_target_for_label(self,label):
if(label == 'POSITIVE'):
return 1
else:
return 0

def sigmoid(self,x):
return 1 / (1 + np.exp(-x))

def sigmoid_output_2_derivative(self,output):
return output * (1 - output)

def train(self, training_reviews, training_labels):

assert(len(training_reviews) == len(training_labels))

correct_so_far = 0

start = time.time()

for i in range(len(training_reviews)):

review = training_reviews[i]
label = training_labels[i]

#### Implement the forward pass here ####
### Forward pass ###

# Input Layer
self.update_input_layer(review)

# Hidden layer
layer_1 = self.layer_0.dot(self.weights_0_1)

# Output layer
layer_2 = self.sigmoid(layer_1.dot(self.weights_1_2))

#### Implement the backward pass here ####
### Backward pass ###

# TODO: Output error
layer_2_error = layer_2 - self.get_target_for_label(label) # Output layer error is the difference between desired target and actual output.
layer_2_delta = layer_2_error * self.sigmoid_output_2_derivative(layer_2)

# TODO: Backpropagated error
layer_1_error = layer_2_delta.dot(self.weights_1_2.T) # errors propagated to the hidden layer
layer_1_delta = layer_1_error # hidden layer gradients - no nonlinearity so it's the same as the error

# TODO: Update the weights
self.weights_1_2 -= layer_1.T.dot(layer_2_delta) * self.learning_rate # update hidden-to-output weights with gradient descent step
self.weights_0_1 -= self.layer_0.T.dot(layer_1_delta) * self.learning_rate # update input-to-hidden weights with gradient descent step

if(np.abs(layer_2_error) < 0.5):
correct_so_far += 1

reviews_per_second = i / float(time.time() - start)

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] + "%")
if(i % 2500 == 0):
print("")

def test(self, testing_reviews, testing_labels):

correct = 0

start = time.time()

for i in range(len(testing_reviews)):
pred = self.run(testing_reviews[i])
if(pred == testing_labels[i]):
correct += 1

reviews_per_second = i / float(time.time() - start)

sys.stdout.write("\rProgress:" + str(100 * i/float(len(testing_reviews)))[:4] \
+ "% Speed(reviews/sec):" + str(reviews_per_second)[0:5] \
+ "% #Correct:" + str(correct) + " #Tested:" + str(i+1) + " Testing Accuracy:" + str(correct * 100 / float(i+1))[:4] + "%")

def run(self, review):

# Input Layer
self.update_input_layer(review.lower())

# Hidden layer
layer_1 = self.layer_0.dot(self.weights_0_1)

# Output layer
layer_2 = self.sigmoid(layer_1.dot(self.weights_1_2))

if(layer_2[0] > 0.5):
return "POSITIVE"
else:
return "NEGATIVE"

``````
``````

In [29]:

mlp = SentimentNetwork(reviews[:-1000],labels[:-1000], learning_rate=0.1)

``````
``````

In [30]:

# evaluate our model before training (just to show how horrible it is)
mlp.test(reviews[-1000:],labels[-1000:])

``````
``````

Progress:99.9% Speed(reviews/sec):540.6% #Correct:500 #Tested:1000 Testing Accuracy:50.0%

``````
``````

In [31]:

# train the network
mlp.train(reviews[:-1000],labels[:-1000])

``````
``````

Progress:0.0% Speed(reviews/sec):0.0 #Correct:0 #Trained:1 Training Accuracy:0.0%
Progress:10.4% Speed(reviews/sec):109.4 #Correct:1250 #Trained:2501 Training Accuracy:49.9%
Progress:20.8% Speed(reviews/sec):109.4 #Correct:2500 #Trained:5001 Training Accuracy:49.9%
Progress:31.2% Speed(reviews/sec):109.5 #Correct:3750 #Trained:7501 Training Accuracy:49.9%
Progress:41.6% Speed(reviews/sec):109.8 #Correct:5000 #Trained:10001 Training Accuracy:49.9%
Progress:52.0% Speed(reviews/sec):110.0 #Correct:6250 #Trained:12501 Training Accuracy:49.9%
Progress:62.5% Speed(reviews/sec):107.6 #Correct:7500 #Trained:15001 Training Accuracy:49.9%
Progress:72.9% Speed(reviews/sec):107.8 #Correct:8750 #Trained:17501 Training Accuracy:49.9%
Progress:83.3% Speed(reviews/sec):107.6 #Correct:10000 #Trained:20001 Training Accuracy:49.9%
Progress:93.7% Speed(reviews/sec):106.2 #Correct:11250 #Trained:22501 Training Accuracy:49.9%
Progress:99.9% Speed(reviews/sec):105.4 #Correct:11999 #Trained:24000 Training Accuracy:49.9%

``````
``````

In [32]:

mlp = SentimentNetwork(reviews[:-1000],labels[:-1000], learning_rate=0.01)

``````
``````

In [33]:

# train the network
mlp.train(reviews[:-1000],labels[:-1000])

``````
``````

Progress:0.0% Speed(reviews/sec):0.0 #Correct:0 #Trained:1 Training Accuracy:0.0%
Progress:10.4% Speed(reviews/sec):120.7 #Correct:1247 #Trained:2501 Training Accuracy:49.8%
Progress:20.8% Speed(reviews/sec):126.1 #Correct:2497 #Trained:5001 Training Accuracy:49.9%
Progress:31.2% Speed(reviews/sec):126.6 #Correct:3747 #Trained:7501 Training Accuracy:49.9%
Progress:41.6% Speed(reviews/sec):128.1 #Correct:4997 #Trained:10001 Training Accuracy:49.9%
Progress:52.0% Speed(reviews/sec):129.0 #Correct:6247 #Trained:12501 Training Accuracy:49.9%
Progress:62.5% Speed(reviews/sec):129.8 #Correct:7490 #Trained:15001 Training Accuracy:49.9%
Progress:72.9% Speed(reviews/sec):129.4 #Correct:8739 #Trained:17501 Training Accuracy:49.9%
Progress:83.3% Speed(reviews/sec):128.8 #Correct:10069 #Trained:20001 Training Accuracy:50.3%
Progress:83.9% Speed(reviews/sec):128.7 #Correct:10141 #Trained:20155 Training Accuracy:50.3%

/home/alex/anaconda3/envs/dlnd/lib/python3.6/site-packages/ipykernel/__main__.py:75: RuntimeWarning: overflow encountered in exp

Progress:93.7% Speed(reviews/sec):128.6 #Correct:11383 #Trained:22501 Training Accuracy:50.5%
Progress:99.9% Speed(reviews/sec):129.0 #Correct:12163 #Trained:24000 Training Accuracy:50.6%

``````
``````

In [34]:

mlp = SentimentNetwork(reviews[:-1000],labels[:-1000], learning_rate=0.001)

``````
``````

In [35]:

# train the network
mlp.train(reviews[:-1000],labels[:-1000])

``````
``````

Progress:0.0% Speed(reviews/sec):0.0 #Correct:0 #Trained:1 Training Accuracy:0.0%
Progress:10.4% Speed(reviews/sec):84.34 #Correct:1265 #Trained:2501 Training Accuracy:50.5%
Progress:20.8% Speed(reviews/sec):81.59 #Correct:2664 #Trained:5001 Training Accuracy:53.2%
Progress:31.2% Speed(reviews/sec):82.44 #Correct:4114 #Trained:7501 Training Accuracy:54.8%
Progress:41.6% Speed(reviews/sec):82.85 #Correct:5668 #Trained:10001 Training Accuracy:56.6%
Progress:52.0% Speed(reviews/sec):83.13 #Correct:7230 #Trained:12501 Training Accuracy:57.8%
Progress:62.5% Speed(reviews/sec):82.82 #Correct:8787 #Trained:15001 Training Accuracy:58.5%
Progress:72.9% Speed(reviews/sec):82.30 #Correct:10403 #Trained:17501 Training Accuracy:59.4%
Progress:83.3% Speed(reviews/sec):81.26 #Correct:12128 #Trained:20001 Training Accuracy:60.6%
Progress:93.7% Speed(reviews/sec):80.25 #Correct:13808 #Trained:22501 Training Accuracy:61.3%
Progress:99.9% Speed(reviews/sec):80.22 #Correct:14852 #Trained:24000 Training Accuracy:61.8%

``````