In [1]:

    

import nltk


    

In [2]:

    

#nltk.download()


    

In [3]:

    

from nltk.book import *


    

    




*** Introductory Examples for the NLTK Book ***
Loading text1, ..., text9 and sent1, ..., sent9
Type the name of the text or sentence to view it.
Type: 'texts()' or 'sents()' to list the materials.
text1: Moby Dick by Herman Melville 1851
text2: Sense and Sensibility by Jane Austen 1811
text3: The Book of Genesis
text4: Inaugural Address Corpus
text5: Chat Corpus
text6: Monty Python and the Holy Grail
text7: Wall Street Journal
text8: Personals Corpus
text9: The Man Who Was Thursday by G . K . Chesterton 1908

In [4]:

    

texts()


    

    




text1: Moby Dick by Herman Melville 1851
text2: Sense and Sensibility by Jane Austen 1811
text3: The Book of Genesis
text4: Inaugural Address Corpus
text5: Chat Corpus
text6: Monty Python and the Holy Grail
text7: Wall Street Journal
text8: Personals Corpus
text9: The Man Who Was Thursday by G . K . Chesterton 1908

In [5]:

    

sents()


    

    




sent1: Call me Ishmael .
sent2: The family of Dashwood had long been settled in Sussex .
sent3: In the beginning God created the heaven and the earth .
sent4: Fellow - Citizens of the Senate and of the House of Representatives :
sent5: I have a problem with people PMing me to lol JOIN
sent6: SCENE 1 : [ wind ] [ clop clop clop ] KING ARTHUR : Whoa there !
sent7: Pierre Vinken , 61 years old , will join the board as a nonexecutive director Nov. 29 .
sent8: 25 SEXY MALE , seeks attrac older single lady , for discreet encounters .
sent9: THE suburb of Saffron Park lay on the sunset side of London , as red and ragged as a cloud of sunset .

In [6]:

    

!pip install textblob


    

    




Requirement already satisfied: textblob in c:\users\kogentix\anaconda3\lib\site-packages
Requirement already satisfied: nltk>=3.1 in c:\users\kogentix\anaconda3\lib\site-packages (from textblob)
Requirement already satisfied: six in c:\users\kogentix\anaconda3\lib\site-packages (from nltk>=3.1->textblob)

In [7]:

    

!pip install tweepy


    

    




Requirement already satisfied: tweepy in c:\users\kogentix\anaconda3\lib\site-packages
Requirement already satisfied: requests-oauthlib>=0.4.1 in c:\users\kogentix\anaconda3\lib\site-packages (from tweepy)
Requirement already satisfied: six>=1.7.3 in c:\users\kogentix\anaconda3\lib\site-packages (from tweepy)
Requirement already satisfied: requests>=2.4.3 in c:\users\kogentix\anaconda3\lib\site-packages (from tweepy)
Requirement already satisfied: oauthlib>=0.6.2 in c:\users\kogentix\anaconda3\lib\site-packages (from requests-oauthlib>=0.4.1->tweepy)

In [8]:

    

from urllib import request
url = "http://www.gutenberg.org/files/2554/2554-0.txt"
response = request.urlopen(url)
raw = response.read().decode('utf8')
type(raw)


    

    
Out[8]:





str

In [9]:

    

len(raw)


    

    
Out[9]:





1176965

In [10]:

    

raw[:75]


    

    
Out[10]:





'\ufeffThe Project Gutenberg EBook of Crime and Punishment, by Fyodor Dostoevsky\r'

In [11]:

    

tokens = nltk.word_tokenize(raw)
type(tokens)


    

    
Out[11]:





list

In [12]:

    

tokens[1:10]


    

    
Out[12]:





['Project',
 'Gutenberg',
 'EBook',
 'of',
 'Crime',
 'and',
 'Punishment',
 ',',
 'by']

In [13]:

    

!pip install textmining


    

    




Requirement already satisfied: textmining in c:\users\kogentix\anaconda3\lib\site-packages

In [17]:

    

import textmining


    

In [18]:

    

tdm = textmining.TermDocumentMatrix()


    

In [19]:

    

tdm.add_doc(raw)


    

In [21]:

    

for row in tdm.rows(cutoff=1):
            print(row)


    

    




['the', 'project', 'gutenberg', 'ebook', 'of', 'crime', 'and', 'punishment', 'by', 'fyodor', 'dostoevsky', 'this', 'is', 'for', 'use', 'anyone', 'anywhere', 'at', 'no', 'cost', 'with', 'almost', 'restrictions', 'whatsoever', 'you', 'may', 'copy', 'it', 'give', 'away', 'or', 're', 'under', 'terms', 'license', 'included', 'online', 'www', 'org', 'title', 'author', 'release', 'date', 'march', 'last', 'updated', 'october', 'language', 'english', 'character', 'set', 'encoding', 'utf', 'start', 'produced', 'john', 'bickers', 'dagny', 'translated', 'constance', 'garnett', 'translator', 's', 'preface', 'a', 'few', 'words', 'about', 'himself', 'help', 'reader', 'to', 'understand', 'his', 'work', 'was', 'son', 'doctor', 'parents', 'were', 'very', 'hard', 'working', 'deeply', 'religious', 'people', 'but', 'so', 'poor', 'that', 'they', 'lived', 'their', 'five', 'children', 'in', 'only', 'two', 'rooms', 'father', 'mother', 'spent', 'evenings', 'reading', 'aloud', 'generally', 'from', 'books', 'serious', 'though', 'always', 'sickly', 'delicate', 'came', 'out', 'third', 'final', 'examination', 'petersburg', 'school', 'engineering', 'there', 'he', 'had', 'already', 'begun', 'first', 'folk', 'story', 'published', 'poet', 'nekrassov', 'review', 'received', 'acclamations', 'shy', 'unknown', 'youth', 'found', 'instantly', 'something', 'celebrity', 'brilliant', 'successful', 'career', 'seemed', 'open', 'before', 'him', 'those', 'hopes', 'soon', 'dashed', 'arrested', 'neither', 'temperament', 'nor', 'conviction', 'revolutionist', 'one', 'little', 'group', 'young', 'men', 'who', 'met', 'together', 'read', 'fourier', 'proudhon', 'accused', 'taking', 'part', 'conversations', 'against', 'censorship', 'letter', 'byelinsky', 'gogol', 'knowing', 'intention', 'up', 'printing', 'press', 'nicholas', 'i', 'stern', 'just', 'man', 'as', 'maurice', 'baring', 'calls', 'enough', 'condemned', 'death', 'after', 'eight', 'months', 'imprisonment', 'twenty', 'others', 'taken', 'semyonovsky', 'square', 'be', 'shot', 'writing', 'brother', 'mihail', 'says', 'snapped', 'over', 'our', 'heads', 'made', 'us', 'put', 'on', 'white', 'shirts', 'worn', 'persons', 'thereupon', 'we', 'bound', 'threes', 'stakes', 'suffer', 'execution', 'being', 'row', 'concluded', 'minutes', 'life', 'me', 'thought', 'your', 'dear', 'ones', 'contrived', 'kiss', 'plestcheiev', 'dourov', 'next', 'bid', 'them', 'farewell', 'suddenly', 'troops', 'beat', 'tattoo', 'unbound', 'brought', 'back', 'upon', 'scaffold', 'informed', 'majesty', 'spared', 'lives', 'sentence', 'commuted', 'labour', 'prisoners', 'grigoryev', 'went', 'mad', 'untied', 'never', 'regained', 'sanity', 'intense', 'suffering', 'experience', 'left', 'lasting', 'stamp', 'mind', 'temper', 'led', 'end', 'accept', 'every', 'resignation', 'regard', 'blessing', 'own', 'case', 'constantly', 'recurs', 'subject', 'writings', 'describes', 'awful', 'agony', 'insists', 'cruelty', 'inflicting', 'such', 'torture', 'then', 'followed', 'four', 'years', 'penal', 'servitude', 'company', 'common', 'criminals', 'siberia', 'where', 'began', 'dead', 'house', 'some', 'service', 'disciplinary', 'battalion', 'shown', 'signs', 'obscure', 'nervous', 'disease', 'arrest', 'now', 'developed', 'into', 'violent', 'attacks', 'epilepsy', 'which', 'suffered', 'rest', 'fits', 'occurred', 'three', 'times', 'year', 'more', 'frequent', 'periods', 'great', 'strain', 'allowed', 'return', 'russia', 'started', 'journal', 'vremya', 'forbidden', 'through', 'misunderstanding', 'lost', 'wife', 'terrible', 'poverty', 'yet', 'took', 'payment', 'debts', 'another', 'epoch', 'within', 'also', 'prohibited', 'weighed', 'down', 'debt', 'family', 'dependent', 'forced', 'write', 'heart', 'breaking', 'speed', 'said', 'have', 'corrected', 'later', 'much', 'softened', 'tenderness', 'devotion', 'second', 'june', 'famous', 'speech', 'unveiling', 'monument', 'pushkin', 'moscow', 'extraordinary', 'demonstrations', 'love', 'honour', 'died', 'grave', 'vast', 'multitude', 'mourners', 'gave', 'hapless', 'funeral', 'king', 'still', 'probably', 'most', 'widely', 'writer', 'russian', 'critic', 'seeks', 'explain', 'feeling', 'inspired', 'ourselves', 'blood', 'bone', 'has', 'seen', 'than', 'insight', 'impresses', 'wisdom', 'seek', 'learn', 'how', 'live', 'all', 'other', 'gifts', 'nature', 'won', 'became', 'chapter', 'an', 'exceptionally', 'hot', 'evening', 'early', 'july', 'garret', 'lodged', 'place', 'walked', 'slowly', 'hesitation', 'towards', 'k', 'bridge', 'successfully', 'avoided', 'meeting', 'landlady', 'staircase', 'roof', 'high', 'storied', 'like', 'cupboard', 'room', 'provided', 'dinners', 'attendance', 'floor', 'below', 'time', 'obliged', 'pass', 'her', 'kitchen', 'door', 'invariably', 'stood', 'each', 'passed', 'sick', 'frightened', 'scowl', 'feel', 'ashamed', 'hopelessly', 'afraid', 'not', 'because', 'cowardly', 'abject', 'quite', 'contrary', 'past', 'been', 'overstrained', 'irritable', 'condition', 'verging', 'hypochondria', 'become', 'completely', 'absorbed', 'isolated', 'fellows', 'dreaded', 'crushed', 'anxieties', 'position', 'late', 'ceased', 'weigh', 'given', 'attending', 'matters', 'practical', 'importance', 'desire', 'do', 'nothing', 'any', 'could', 'real', 'terror', 'stopped', 'stairs', 'listen', 'trivial', 'irrelevant', 'gossip', 'pestering', 'demands', 'threats', 'complaints', 'rack', 'brains', 'excuses', 'prevaricate', 'lie', 'rather', 'would', 'creep', 'cat', 'slip', 'unseen', 'however', 'coming', 'street', 'acutely', 'aware', 'fears', 'want', 'attempt', 'thing', 'am', 'these', 'trifles', 'odd', 'smile', 'hm', 'yes', 'hands', 'lets', 'cowardice', 'axiom', 'interesting', 'know', 'what', 'are', 'new', 'step', 'uttering', 'word', 'fear', 'talking', 'too', 'chatter', 'perhaps', 've', 'learned', 'month', 'lying', 'days', 'my', 'den', 'thinking', 'jack', 'giant', 'killer', 'why', 'going', 'capable', 'simply', 'fantasy', 'amuse', 'myself', 'plaything', 'maybe', 'heat', 'airlessness', 'bustle', 'plaster', 'scaffolding', 'bricks', 'dust', 'special', 'stench', 'familiar', 'unable', 'get', 'town', 'summer', 'worked', 'painfully', 'overwrought', 'nerves', 'insufferable', 'pot', 'houses', 'particularly', 'numerous', 'drunken', 'whom', 'continually', 'although', 'day', 'completed', 'revolting', 'misery', 'picture', 'expression', 'profoundest', 'disgust', 'gleamed', 'moment', 'refined', 'face', 'way', 'handsome', 'above', 'average', 'height', 'slim', 'well', 'built', 'beautiful', 'dark', 'eyes', 'brown', 'hair', 'sank', 'deep', 'accurately', 'speaking', 'complete', 'blankness', 'along', 'observing', 'caring', 'observe', 'mutter', 'habit', 'confessed', 'moments', 'conscious', 'ideas', 'sometimes', 'tangle', 'weak', 'scarcely', 'tasted', 'food', 'badly', 'dressed', 'even', 'accustomed', 'shabbiness', 'rags', 'quarter', 'shortcoming', 'dress', 'created', 'surprise', 'owing', 'proximity', 'hay', 'market', 'number', 'establishments', 'bad', 'preponderance', 'trading', 'class', 'population', 'crowded', 'streets', 'alleys', 'types', 'various', 'figure', 'queer', 'caused', 'accumulated', 'bitterness', 'contempt', 'spite', 'fastidiousness', 'minded', 'least', 'different', 'matter', 'when', 'acquaintances', 'former', 'fellow', 'students', 'indeed', 'disliked', 'reason', 'somewhere', 'huge', 'waggon', 'dragged', 'heavy', 'dray', 'horse', 'shouted', 'drove', 'hey', 'german', 'hatter', 'bawling', 'top', 'voice', 'pointing', 'clutched', 'tremulously', 'hat', 'tall', 'round', 'zimmerman', 'rusty', 'age', 'torn', 'bespattered', 'brimless', 'bent', 'side', 'unseemly', 'fashion', 'shame', 'akin', 'overtaken', 'knew', 'muttered', 'confusion', 'worst', 'stupid', 'detail', 'might', 'spoil', 'whole', 'plan', 'noticeable', 'looks', 'absurd', 'makes', 'ought', 'wear', 'cap', 'sort', 'old', 'pancake', 'grotesque', 'nobody', 'wears', 'noticed', 'mile', 'off', 'remembered', 'remember', 'clue', 'business', 'should', 'conspicuous', 'possible', 'ruin', 'everything', 'far', 'go', 'many', 'steps', 'gate', 'lodging', 'exactly', 'seven', 'hundred', 'thirty', 'counted', 'once', 'dreams', 'faith', 'tantalising', 'hideous', 'daring', 'recklessness', 'look', 'differently', 'monologues', 'jeered', 'impotence', 'indecision', 'involuntarily', 'come', 'dream', 'exploit', 'attempted', 'did', 'realise', 'positively', 'rehearsal', 'excitement', 'grew', 'sinking', 'tremor', 'looked', 'canal', 'let', 'tiny', 'tenements', 'inhabited', 'kinds', 'tailors', 'locksmiths', 'cooks', 'germans', 'sorts', 'girls', 'picking', 'living', 'best', 'petty', 'clerks', 'etc', 'continual', 'gates', 'courtyards', 'keepers', 'employed', 'building', 'glad', 'meet', 'none', 'slipped', 'unnoticed', 'right', 'narrow', 'liked', 'surroundings', 'darkness', 'inquisitive', 'if', 'scared', 'somehow', 'really', 'asking', 'reached', 'fourth', 'storey', 'progress', 'barred', 'porters', 'engaged', 'moving', 'furniture', 'flat', 'occupied', 'clerk', 'civil', 'untenanted', 'except', 'woman', 'good', 'anyway', 'rang', 'bell', 'faint', 'tinkle', 'tin', 'copper', 'flats', 'bells', 'ring', 'forgotten', 'note', 'its', 'peculiar', 'remind', 'bring', 'clearly', 'terribly', 'while', 'opened', 'crack', 'eyed', 'visitor', 'evident', 'distrust', 'glittering', 'seeing', 'landing', 'she', 'bolder', 'wide', 'stepped', 'entry', 'partitioned', 'facing', 'silence', 'looking', 'inquiringly', 'diminutive', 'withered', 'sixty', 'sharp', 'malignant', 'nose', 'colourless', 'somewhat', 'grizzled', 'thickly', 'smeared', 'oil', 'wore', 'kerchief', 'thin', 'long', 'neck', 'hen', 'leg', 'knotted', 'flannel', 'rag', 'hung', 'flapping', 'shoulders', 'mangy', 'fur', 'cape', 'yellow', 'coughed', 'groaned', 'instant', 'must', 'gleam', 'mistrust', 'again', 'raskolnikov', 'student', 'here', 'ago', 'haste', 'half', 'bow', 'remembering', 'polite', 'sir', 'distinctly', 'keeping', 'inquiring', 'same', 'errand', 'continued', 'disconcerted', 'surprised', 'notice', 'uneasy', 'paused', 'hesitating', 'letting', 'front', 'paper', 'walls', 'geraniums', 'muslin', 'curtains', 'windows', 'brightly', 'lighted', 'setting', 'sun', 'will', 'shine', 'flashed', 'chance', 'rapid', 'glance', 'scanned', 'trying', 'arrangement', 'wood', 'consisted', 'sofa', 'wooden', 'oval', 'table', 'dressing', 'glass', 'fixed', 'between', 'chairs', 'penny', 'prints', 'frames', 'representing', 'damsels', 'birds', 'corner', 'light', 'burning', 'small', 'ikon', 'clean', 'polished', 'shone', 'lizaveta', 'speck', 'spiteful', 'widows', 'finds', 'cleanliness', 'stole', 'curious', 'cotton', 'curtain', 'leading', 'bed', 'chest', 'drawers', 'severely', 'standing', 'straight', 'pawn', 'drew', 'pocket', 'fashioned', 'silver', 'watch', 'engraved', 'globe', 'chain', 'steel', 'pledge', 'yesterday', 'interest', 'wait', 'please', 'sell', 'alyona', 'ivanovna', 'worth', 'anything', 'roubles', 'buy', 'jeweler', 'rouble', 'shall', 'redeem', 'getting', 'money', 'advance', 'cried', 'yourself', 'handed', 'angry', 'point', 'checked', 'nowhere', 'else', 'object', 'hand', 'roughly', 'fumbled', 'keys', 'disappeared', 'behind', 'alone', 'middle', 'listened', 'inquisitively', 'hear', 'unlocking', 'drawer', 'reflected', 'carries', 'bunch', 'key', 'big', 'notches', 'can', 't', 'strong', 'box', 'boxes', 'degrading', 'say', 'ten', 'copecks', 'take', 'fifteen', 'lent', 'owe', 'reckoning', 'altogether', 'dispute', 'hurry', 'wanted', 'bringing', 'valuable', 'cigarette', 'friend', 'broke', 'talk', 'bye', 'home', 'sister', 'asked', 'casually', 'passage', 'yours', 'oh', 'particular', 'quick', 'short', 'struck', 'god', 'loathsome', 'possibly', 'nonsense', 'rubbish', 'added', 'resolutely', 'atrocious', 'head', 'filthy', 'things', 'disgusting', 'exclamations', 'express', 'agitation', 'repulsion', 'oppress', 'pitch', 'definite', 'form', 'escape', 'wretchedness', 'pavement', 'regardless', 'passers', 'jostling', 'senses', 'close', 'tavern', 'entered', 'basement', 'abusing', 'supporting', 'mounted', 'without', 'stopping', 'think', 'till', 'felt', 'giddy', 'tormented', 'thirst', 'longed', 'drink', 'cold', 'beer', 'attributed', 'sudden', 'weakness', 'sat', 'sticky', 'dirty', 'ordered', 'eagerly', 'drank', 'glassful', 'easier', 'thoughts', 'clear', 'hopefully', 'worry', 'physical', 'derangement', 'piece', 'dry', 'bread', 'brain', 'stronger', 'clearer', 'firm', 'phew', 'utterly', 'scornful', 'reflection', 'cheerful', 'free', 'burden', 'gazed', 'friendly', 'dim', 'foreboding', 'happier', 'frame', 'normal', 'besides', 'consisting', 'girl', 'concertina', 'gone', 'departure', 'quiet', 'empty', 'appeared', 'artisan', 'drunk', 'extremely', 'sitting', 'companion', 'stout', 'grey', 'beard', 'full', 'skirted', 'coat', 'dropped', 'asleep', 'bench', 'sleep', 'cracking', 'fingers', 'arms', 'apart', 'upper', 'body', 'bounding', 'hummed', 'meaningless', 'refrain', 'recall', 'lines', 'fondly', 'loved', 'waking', 'walking', 'used', 'shared', 'enjoyment', 'silent', 'positive', 'hostility', 'manifestations', 'retired', 'government', 'sipping', 'ii', 'crowds', 'society', 'especially', 'weary', 'concentrated', 'gloomy', 'world', 'whatever', 'filthiness', 'stay', 'master', 'establishment', 'frequently', 'main', 'jaunty', 'tarred', 'boots', 'red', 'turn', 'tops', 'view', 'person', 'horribly', 'greasy', 'black', 'satin', 'waistcoat', 'cravat', 'iron', 'lock', 'counter', 'boy', 'fourteen', 'younger', 'lay', 'sliced', 'cucumber', 'pieces', 'dried', 'fish', 'chopped', 'smelling', 'insufferably', 'fumes', 'spirits', 'atmosphere', 'make', 'meetings', 'strangers', 'spoken', 'impression', 'distance', 'often', 'recalled', 'afterwards', 'ascribed', 'presentiment', 'repeatedly', 'partly', 'doubt', 'latter', 'staring', 'persistently', 'obviously', 'anxious', 'enter', 'conversation', 'including', 'keeper', 'showing', 'shade', 'condescending', 'station', 'culture', 'inferior', 'useless', 'converse', 'fifty', 'bald', 'medium', 'stoutly', 'bloated', 'drinking', 'greenish', 'tinge', 'swollen', 'eyelids', 'keen', 'reddish', 'chinks', 'strange', 'intelligence', 'madness', 'wearing', 'ragged', 'buttons', 'missing', 'buttoned', 'evidently', 'clinging', 'trace', 'respectability', 'crumpled', 'shirt', 'covered', 'spots', 'stains', 'protruded', 'canvas', 'moustache', 'unshaven', 'chin', 'stiff', 'greyish', 'brush', 'respectable', 'official', 'manner', 'restless', 'ruffled', 'drop', 'dejectedly', 'resting', 'elbows', 'stained', 'loudly', 'venture', 'honoured', 'engage', 'forasmuch', 'exterior', 'command', 'respect', 'admonishes', 'education', 'respected', 'conjunction', 'genuine', 'sentiments', 'titular', 'counsellor', 'rank', 'marmeladov', 'name', 'bold', 'inquire', 'studying', 'answered', 'grandiloquent', 'style', 'speaker', 'directly', 'addressed', 'momentary', 'actually', 'immediately', 'habitual', 'aversion', 'stranger', 'approached', 'approach', 'formerly', 'm', 'immense', 'tapped', 'forehead', 'self', 'approval', 'attended', 'institution', 'allow', 'got', 'staggered', 'jug', 'beside', 'sideways', 'spoke', 'fluently', 'boldly', 'occasionally', 'losing', 'thread', 'sentences', 'drawling', 'pounced', 'greedily', 'soul', 'solemnity', 'vice', 'true', 'saying', 'drunkenness', 'virtue', 'truer', 'beggary', 'retain', 'innate', 'nobility', 'chased', 'human', 'stick', 'swept', 'broom', 'humiliating', 'ready', 'humiliate', 'hence', 'mr', 'lebeziatnikov', 'beating', 'ask', 'question', 'simple', 'curiosity', 'ever', 'night', 'barge', 'neva', 'happened', 'mean', 'fifth', 'slept', 'filled', 'emptied', 'bits', 'fact', 'clothes', 'sticking', 'probable', 'undressed', 'washed', 'fat', 'nails', 'excite', 'general', 'languid', 'boys', 'fell', 'sniggering', 'innkeeper', 'apparently', 'purpose', 'funny', 'yawning', 'lazily', 'dignity', 'likely', 'acquired', 'flown', 'speeches', 'entering', 'develops', 'necessity', 'drunkards', 'sharply', 'kept', 'order', 'drinkers', 'try', 'justify', 'themselves', 'obtain', 'consideration', 'pronounced', 'don', 'aren', 'duty', 'addressing', 'exclusively', 'does', 'ache', 'worm', 'didn', 'excuse', 'petition', 'loan', 'fullest', 'sense', 'beforehand', 'instance', 'certainty', 'reputable', 'exemplary', 'citizen', 'knows', 'course', 'shan', 'pay', 'compassion', 'keeps', 'modern', 'explained', 'nowadays', 'science', 'itself', 'done', 'england', 'political', 'economy', 'since', 'absolutely', 'daughter', 'ticket', 'passport', 'parenthesis', 'certain', 'uneasiness', 'hurriedly', 'apparent', 'composure', 'both', 'guffawed', 'smiled', 'confounded', 'wagging', 'everyone', 'secret', 'humility', 'behold', 'strongly', 'dare', 'assert', 'pig', 'answer', 'orator', 'stolidly', 'increased', 'waiting', 'laughter', 'subside', 'lady', 'semblance', 'beast', 'katerina', 'spouse', 'officer', 'granted', 'scoundrel', 'noble', 'magnanimous', 'unjust', 'pulls', 'pity', 'repeat', 'declared', 'redoubled', 'hearing', 'vain', 'wish', 'fate', 'assented', 'fist', 'sold', 'stockings', 'shoes', 'less', 'mohair', 'shawl', 'present', 'property', 'mine', 'caught', 'winter', 'coughing', 'spitting', 'morning', 'scrubbing', 'cleaning', 'washing', 'child', 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2, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 3, 1, 1, 1, 2, 1, 3, 1, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 1, 4, 1, 1, 1, 2, 3, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 5, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 7, 2, 5, 2, 2, 1, 1, 3, 1, 1, 1, 1, 1, 1, 2, 1, 1, 16, 1, 3, 1, 2, 1, 1, 1, 1, 1, 3, 1, 3, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 3, 1, 1, 1, 1, 1, 4, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 6, 6, 2, 3, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 6, 1, 1, 3, 1, 1, 3, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 4, 2, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 3, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 4, 1, 2, 1, 3, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 6, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 6, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 2, 1, 3, 1, 1, 1, 1, 5, 1, 1, 1, 1, 1, 2, 1, 1, 1, 4, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 4, 2, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 5, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 3, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 9, 2, 1, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 17, 3, 2, 1, 2, 2, 1, 1, 1, 3, 2, 1, 3, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 3, 1, 1, 2, 1, 1, 1, 2, 1, 1, 3, 2, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 3, 1, 2, 2, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 10, 1, 1, 1, 5, 1, 3, 2, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 3, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 5, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 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1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]

In [24]:

    

type(row)


    

    
Out[24]:





list

In [23]:

    

row[1:10]


    

    
Out[23]:





[93, 93, 10, 3928, 56, 7042, 9, 585, 4]

In [29]:

    

import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer

 
vec = CountVectorizer()
X = vec.fit_transform(tokens)
df = pd.DataFrame(X.toarray(), columns=vec.get_feature_names())
print(df)


    

    




---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
<ipython-input-29-83a8fc86634b> in <module>()
      5 vec = CountVectorizer()
      6 X = vec.fit_transform(tokens)
----> 7 df = pd.DataFrame(X.toarray(), columns=vec.get_feature_names())
      8 print(df)

C:\Users\KOGENTIX\Anaconda3\lib\site-packages\scipy\sparse\compressed.py in toarray(self, order, out)
    962     def toarray(self, order=None, out=None):
    963         """See the docstring for `spmatrix.toarray`."""
--> 964         return self.tocoo(copy=False).toarray(order=order, out=out)
    965 
    966     ##############################################################

C:\Users\KOGENTIX\Anaconda3\lib\site-packages\scipy\sparse\coo.py in toarray(self, order, out)
    250     def toarray(self, order=None, out=None):
    251         """See the docstring for `spmatrix.toarray`."""
--> 252         B = self._process_toarray_args(order, out)
    253         fortran = int(B.flags.f_contiguous)
    254         if not fortran and not B.flags.c_contiguous:

C:\Users\KOGENTIX\Anaconda3\lib\site-packages\scipy\sparse\base.py in _process_toarray_args(self, order, out)
   1037             return out
   1038         else:
-> 1039             return np.zeros(self.shape, dtype=self.dtype, order=order)
   1040 
   1041     def __numpy_ufunc__(self, func, method, pos, inputs, **kwargs):

MemoryError: 

In [30]:

    

print(df)


    

    




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        zigzags  zimmerman  zip  zossimov  æsthetic  æsthetically  æsthetics  \
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        éternelle_  êtes  
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257713           0     0  
257714           0     0  
257715           0     0  
257716           0     0  
257717           0     0  
257718           0     0  
257719           0     0  
257720           0     0  
257721           0     0  
257722           0     0  
257723           0     0  
257724           0     0  
257725           0     0  

[257726 rows x 9860 columns]

In [31]:

    

df[['zossimov']]


    

    
Out[31]:







  

    

      

      
zossimov
    
  
  

    

      
0
      
0
    
    

      
1
      
0
    
    

      
2
      
0
    
    

      
3
      
0
    
    

      
4
      
0
    
    

      
5
      
0
    
    

      
6
      
0
    
    

      
7
      
0
    
    

      
8
      
0
    
    

      
9
      
0
    
    

      
10
      
0
    
    

      
11
      
0
    
    

      
12
      
0
    
    

      
13
      
0
    
    

      
14
      
0
    
    

      
15
      
0
    
    

      
16
      
0
    
    

      
17
      
0
    
    

      
18
      
0
    
    

      
19
      
0
    
    

      
20
      
0
    
    

      
21
      
0
    
    

      
22
      
0
    
    

      
23
      
0
    
    

      
24
      
0
    
    

      
25
      
0
    
    

      
26
      
0
    
    

      
27
      
0
    
    

      
28
      
0
    
    

      
29
      
0
    
    

      
...
      
...
    
    

      
257696
      
0
    
    

      
257697
      
0
    
    

      
257698
      
0
    
    

      
257699
      
0
    
    

      
257700
      
0
    
    

      
257701
      
0
    
    

      
257702
      
0
    
    

      
257703
      
0
    
    

      
257704
      
0
    
    

      
257705
      
0
    
    

      
257706
      
0
    
    

      
257707
      
0
    
    

      
257708
      
0
    
    

      
257709
      
0
    
    

      
257710
      
0
    
    

      
257711
      
0
    
    

      
257712
      
0
    
    

      
257713
      
0
    
    

      
257714
      
0
    
    

      
257715
      
0
    
    

      
257716
      
0
    
    

      
257717
      
0
    
    

      
257718
      
0
    
    

      
257719
      
0
    
    

      
257720
      
0
    
    

      
257721
      
0
    
    

      
257722
      
0
    
    

      
257723
      
0
    
    

      
257724
      
0
    
    

      
257725
      
0
    
  

257726 rows × 1 columns

In [32]:

    

type(tokens)


    

    
Out[32]:





list

In [34]:

    

tokens2=pd.DataFrame(tokens)


    

In [36]:

    

tokens2.columns=['Words']


    

In [38]:

    

tokens2.head()


    

    
Out[38]:







  

    

      

      
Words
    
  
  

    

      
0
      
The
    
    

      
1
      
Project
    
    

      
2
      
Gutenberg
    
    

      
3
      
EBook
    
    

      
4
      
of
    
  

In [40]:

    

tokens2.Words.value_counts().head()


    

    
Out[40]:





,      16178
.       9589
the     7436
and     6284
to      5278
Name: Words, dtype: int64

In [ ]: