64 KiB
NLTK - Part of Speech¶
import nltk import random
texts = open('1.txt').readlines() sentence = random.shuffle(texts) print(texts)
[' In his fifth memo, he subsequently focuses on multiplicity as a way for literature to comprehend the complex nature of the world that for the author is a whole of wholes, where the acts of watching and knowing also intervene in the observed reality and alter it. Calvino is particularly fascinated by literary works that are built upon a combinatory logic or that are readable as different narratives. The lecture revolves around some novels that contain multiple worlds and make space for the readers’ imaginations. Therefore, let’s think visibility and multiplicity together, as: a multiplication of visibilities. They are traits specific to artistic production and define a context for the undecidable, or rather for undecidability, as the quality of being undecidable.']
lines = open('1.txt').readlines() sentence = random.shuffle(lines) print(lines)
[' In his fifth memo, he subsequently focuses on multiplicity as a way for literature to comprehend the complex nature of the world that for the author is a whole of wholes, where the acts of watching and knowing also intervene in the observed reality and alter it. Calvino is particularly fascinated by literary works that are built upon a combinatory logic or that are readable as different narratives. The lecture revolves around some novels that contain multiple worlds and make space for the readers’ imaginations. Therefore, let’s think visibility and multiplicity together, as: a multiplication of visibilities. They are traits specific to artistic production and define a context for the undecidable, or rather for undecidability, as the quality of being undecidable.']
# using list comprehension text1 = ' '.join([str(elem) for elem in lines]) print(text1)
In his fifth memo, he subsequently focuses on multiplicity as a way for literature to comprehend the complex nature of the world that for the author is a whole of wholes, where the acts of watching and knowing also intervene in the observed reality and alter it. Calvino is particularly fascinated by literary works that are built upon a combinatory logic or that are readable as different narratives. The lecture revolves around some novels that contain multiple worlds and make space for the readers’ imaginations. Therefore, let’s think visibility and multiplicity together, as: a multiplication of visibilities. They are traits specific to artistic production and define a context for the undecidable, or rather for undecidability, as the quality of being undecidable.
tokens = nltk.word_tokenize(text1) print(tokens)
['In', 'his', 'fifth', 'memo', ',', 'he', 'subsequently', 'focuses', 'on', 'multiplicity', 'as', 'a', 'way', 'for', 'literature', 'to', 'comprehend', 'the', 'complex', 'nature', 'of', 'the', 'world', 'that', 'for', 'the', 'author', 'is', 'a', 'whole', 'of', 'wholes', ',', 'where', 'the', 'acts', 'of', 'watching', 'and', 'knowing', 'also', 'intervene', 'in', 'the', 'observed', 'reality', 'and', 'alter', 'it', '.', 'Calvino', 'is', 'particularly', 'fascinated', 'by', 'literary', 'works', 'that', 'are', 'built', 'upon', 'a', 'combinatory', 'logic', 'or', 'that', 'are', 'readable', 'as', 'different', 'narratives', '.', 'The', 'lecture', 'revolves', 'around', 'some', 'novels', 'that', 'contain', 'multiple', 'worlds', 'and', 'make', 'space', 'for', 'the', 'readers', '’', 'imaginations', '.', 'Therefore', ',', 'let', '’', 's', 'think', 'visibility', 'and', 'multiplicity', 'together', ',', 'as', ':', 'a', 'multiplication', 'of', 'visibilities', '.', 'They', 'are', 'traits', 'specific', 'to', 'artistic', 'production', 'and', 'define', 'a', 'context', 'for', 'the', 'undecidable', ',', 'or', 'rather', 'for', 'undecidability', ',', 'as', 'the', 'quality', 'of', 'being', 'undecidable', '.']
tagged1 = nltk.pos_tag(tokens) print(tagged1)
[('In', 'IN'), ('his', 'PRP$'), ('fifth', 'JJ'), ('memo', 'NN'), (',', ','), ('he', 'PRP'), ('subsequently', 'RB'), ('focuses', 'VBZ'), ('on', 'IN'), ('multiplicity', 'NN'), ('as', 'IN'), ('a', 'DT'), ('way', 'NN'), ('for', 'IN'), ('literature', 'NN'), ('to', 'TO'), ('comprehend', 'VB'), ('the', 'DT'), ('complex', 'JJ'), ('nature', 'NN'), ('of', 'IN'), ('the', 'DT'), ('world', 'NN'), ('that', 'WDT'), ('for', 'IN'), ('the', 'DT'), ('author', 'NN'), ('is', 'VBZ'), ('a', 'DT'), ('whole', 'NN'), ('of', 'IN'), ('wholes', 'NNS'), (',', ','), ('where', 'WRB'), ('the', 'DT'), ('acts', 'NNS'), ('of', 'IN'), ('watching', 'VBG'), ('and', 'CC'), ('knowing', 'VBG'), ('also', 'RB'), ('intervene', 'NN'), ('in', 'IN'), ('the', 'DT'), ('observed', 'JJ'), ('reality', 'NN'), ('and', 'CC'), ('alter', 'NN'), ('it', 'PRP'), ('.', '.'), ('Calvino', 'NNP'), ('is', 'VBZ'), ('particularly', 'RB'), ('fascinated', 'VBN'), ('by', 'IN'), ('literary', 'JJ'), ('works', 'NNS'), ('that', 'WDT'), ('are', 'VBP'), ('built', 'VBN'), ('upon', 'IN'), ('a', 'DT'), ('combinatory', 'NN'), ('logic', 'NN'), ('or', 'CC'), ('that', 'WDT'), ('are', 'VBP'), ('readable', 'JJ'), ('as', 'IN'), ('different', 'JJ'), ('narratives', 'NNS'), ('.', '.'), ('The', 'DT'), ('lecture', 'NN'), ('revolves', 'VBZ'), ('around', 'IN'), ('some', 'DT'), ('novels', 'NNS'), ('that', 'WDT'), ('contain', 'VBP'), ('multiple', 'JJ'), ('worlds', 'NNS'), ('and', 'CC'), ('make', 'VB'), ('space', 'NN'), ('for', 'IN'), ('the', 'DT'), ('readers', 'NNS'), ('’', 'VBP'), ('imaginations', 'NNS'), ('.', '.'), ('Therefore', 'RB'), (',', ','), ('let', 'VB'), ('’', 'NNP'), ('s', 'VB'), ('think', 'VBP'), ('visibility', 'NN'), ('and', 'CC'), ('multiplicity', 'NN'), ('together', 'RB'), (',', ','), ('as', 'IN'), (':', ':'), ('a', 'DT'), ('multiplication', 'NN'), ('of', 'IN'), ('visibilities', 'NNS'), ('.', '.'), ('They', 'PRP'), ('are', 'VBP'), ('traits', 'NNS'), ('specific', 'JJ'), ('to', 'TO'), ('artistic', 'JJ'), ('production', 'NN'), ('and', 'CC'), ('define', 'VB'), ('a', 'DT'), ('context', 'NN'), ('for', 'IN'), ('the', 'DT'), ('undecidable', 'JJ'), (',', ','), ('or', 'CC'), ('rather', 'RB'), ('for', 'IN'), ('undecidability', 'NN'), (',', ','), ('as', 'IN'), ('the', 'DT'), ('quality', 'NN'), ('of', 'IN'), ('being', 'VBG'), ('undecidable', 'JJ'), ('.', '.')]
selection = [] for word, tag in tagged1: if 'NN' in tag: selection.append(word) print(selection)
['memo', 'multiplicity', 'way', 'literature', 'nature', 'world', 'author', 'whole', 'wholes', 'acts', 'intervene', 'reality', 'alter', 'Calvino', 'works', 'combinatory', 'logic', 'narratives', 'lecture', 'novels', 'worlds', 'space', 'readers', 'imaginations', '’', 'visibility', 'multiplicity', 'multiplication', 'visibilities', 'traits', 'production', 'context', 'undecidability', 'quality']
# remove overlapped words, using set() selection = [] for word, tag in tagged1: if 'NN' in tag: selection.append(word) print(set(selection))
{'space', 'undecidability', 'world', 'worlds', 'narratives', 'way', 'literature', 'quality', 'works', 'novels', 'visibilities', 'acts', 'readers', 'nature', 'context', 'reality', 'whole', 'wholes', 'Calvino', 'multiplication', '’', 'visibility', 'combinatory', 'lecture', 'alter', 'imaginations', 'memo', 'multiplicity', 'production', 'author', 'logic', 'traits', 'intervene'}
nntagged1 = random.choices(selection, k=6) print(nntagged1)
['imaginations', 'alter', 'works', 'imaginations', 'lecture', 'imaginations']
nnand = " and ".join(nntagged1) print(nnand)
imaginations and alter and works and imaginations and lecture and imaginations
nntagged2 = random.choices(selection, k=6) print(nntagged2)
['novels', 'narratives', 'traits', 'lecture', 'narratives', 'traits']
nnand2 = " and ".join(nntagged2) print(nnand2)
novels and narratives and traits and lecture and narratives and traits
nntagged3 = random.choices(selection, k=6) print(nntagged3)
['multiplicity', 'works', 'author', 'reality', 'multiplicity', 'wholes']
nnand3 = " and ".join(nntagged3) print(nnand3)
multiplicity and works and author and reality and multiplicity and wholes
lines = open('relevant.txt').readlines() sentence = random.shuffle(lines) print(lines)
type(lines)
list
Tokens¶
tokens = nltk.word_tokenize(full) print(tokens)
['In', 'fact', ',', 'if', 'something', 'is', 'possible', 'when', 'it', 'contains', 'and', 'under', 'certain', 'terms', 'performs', 'the', 'possibility', 'of', 'its', 'actualisation', ',', 'a', 'world', 'is', 'potential', 'when', 'it', 'can', 'maintain', 'its', 'potentiality', 'and', 'never', 'actualize', 'itself', 'into', 'one', 'actual', 'form', '.', 'The', 'kind', 'of', 'collective', 'body', 'that', 'undecidability', 'produces', 'could', 'of', 'course', 'be', 'seen', 'as', 'an', 'image', 'of', 'a', 'possible', 'or', 'future', 'societal', 'structure', ',', 'but', 'it', 'is', 'rather', 'an', 'enigmatic', 'subject', ':', 'it', 'is', 'not', 'there', 'to', 'actualize', 'itself', 'but', 'to', 'keep', 'being', 'a', 'sheer', ',', 'glimmering', 'potentiality', '.', 'If', 'the', 'coexistence', 'of', 'different', 'media', 'already', 'implies', 'different', 'angles', ',', 'durations', ',', 'discourses', ',', 'and', 'forms', 'of', 'spectatorship', ',', 'the', 'performance', 'itself', 'keeps', 'an', 'undecidable', 'bound', 'between', 'its', 'real', 'and', 'fictional', 'ontologies', '.', 'Which', 'is', 'to', 'say', ',', 'if', 'it', 'doesn', '’', 't', 'give', 'up', 'on', 'involving', 'radically', 'different', 'realities', 'into', 'its', 'operation', 'modes', 'and', 'doesn', '’', 't', 'fade', 'out', 'from', 'the', 'scene', 'of', 'the', '‘', 'real', '’', 'world', '.', 'In', 'particular', ',', 'the', 'potentiality', 'generated', 'by', 'undecidable', 'artworks', 'is', 'grounded', 'in', 'a', 'logic', 'of', 'addition', 'and', 'contradiction', 'that', 'is', 'specific', 'of', 'art', '.', 'If', 'the', 'coexistence', 'of', 'different', 'media', 'already', 'implies', 'different', 'angles', ',', 'durations', ',', 'discourses', ',', 'and', 'forms', 'of', 'spectatorship', ',', 'the', 'performance', 'itself', 'keeps', 'an', 'undecidable', 'bound', 'between', 'its', 'real', 'and', 'fictional', 'ontologies', '.', 'In', 'fact', ',', 'undecidability', 'is', 'a', 'specific', 'force', 'at', 'work', 'that', 'consciously', 'articulates', ',', 'redefines', ',', 'or', 'alters', 'the', 'complex', 'system', 'of', 'links', ',', 'bounds', ',', 'and', 'resonances', 'between', 'different', 'potential', 'and', 'actual', 'worlds', '.', 'What', 'is', 'peculiar', 'to', 'this', 'kind', 'of', 'artworks', 'then', ',', 'and', 'what', 'within', 'them', 'can', 'produce', 'an', 'understanding', 'of', 'the', 'place', 'of', 'art', 'and', 'of', 'its', 'politics', 'today', ',', 'is', 'that', 'they', 'generate', 'a', 'multiplicity', 'of', 'gazes', 'and', 'of', 'forms', 'of', 'spectatorship', 'that', 'also', 'coexist', 'one', 'next', 'to', 'the', 'other', 'without', 'mediating', 'between', 'their', 'own', 'positions', 'and', 'points', 'of', 'view', '.', 'We', 'might', 'stretch', 'this', 'line', 'of', 'thought', 'a', 'bit', 'further', 'and', 'propose', 'that', 'art', '’', 's', 'potentiality', 'is', 'that', 'of', 'multiplying', 'the', 'visible', 'as', 'an', 'actual', 'counterstrategy', 'to', 'the', 'proliferation', 'of', 'images', 'that', 'surrounds', 'us', '.', 'Undecidability', 'could', 'then', 'be', 'detached', 'from', 'art', 'and', 'applied', 'to', 'curation', ',', 'instituting', 'processes', 'or', 'even', 'to', 'politics', 'at', 'large', ':', 'the', 'unfolding', 'of', 'its', 'resonances', 'and', 'consequences', 'already', 'opens', 'this', 'possibility', 'and', 'even', 'beckons', 'it', '.', '(', 'Nevertheless', ',', 'acknowledging', 'it', 'as', 'specific', 'to', 'art', ',', 'and', 'thus', 'as', 'a', 'means', 'without', 'ends', ',', 'seems', 'to', 'better', 'protect', 'the', 'inner', 'nature', 'and', 'the', 'intact', 'potentiality', 'of', 'a', 'quality', 'that', 'does', 'not', 'make', 'itself', 'available', 'for', 'any', 'use', 'and', 'does', 'not', 'serve', 'any', 'agenda', ',', 'but', 'stays', 'autonomous', 'and', 'operates', 'by', 'creating', 'its', 'own', 'conditions', 'all', 'over', 'again', '.', 'Here', ',', 'spectators', 'are', 'invited', 'to', 'enter', 'the', 'work', '’', 's', 'fictional', 'world', 'carrying', 'with', 'themselves', 'the', 'so-called', 'real', 'world', 'and', 'all', 'their', 'other', 'fictional', 'worlds', ';', 'a', 'space', 'is', 'created', 'where', 'all', 'these', 'worlds', 'are', 'equally', 'welcomed', '.', 'Undecidability', 'could', 'then', 'be', 'detached', 'from', 'art', 'and', 'applied', 'to', 'curation', ',', 'instituting', 'processes', 'or', 'even', 'to', 'politics', 'at', 'large', ':', 'the', 'unfolding', 'of', 'its', 'resonances', 'and', 'consequences', 'already', 'opens', 'this', 'possibility', 'and', 'even', 'beckons', 'it', '.', '-Nevertheless', ',', 'acknowledging', 'it', 'as', 'specific', 'to', 'art', ',', 'and', 'thus', 'as', 'a', 'means', 'without', 'ends', ',', 'seems', 'to', 'better', 'protect', 'the', 'inner', 'nature', 'and', 'the', 'intact', 'potentiality', 'of', 'a', 'quality', 'that', 'does', 'not', 'make', 'itself', 'available', 'for', 'any', 'use', 'and', 'does', 'not', 'serve', 'any', 'agenda', ',', 'but', 'stays', 'autonomous', 'and', 'operates', 'by', 'creating', 'its', 'own', 'conditions', 'all', 'over', 'again', '.']
Part of Speech "tags"¶
tagged = nltk.pos_tag(tokens) print(tagged)
[('In', 'IN'), ('fact', 'NN'), (',', ','), ('if', 'IN'), ('something', 'NN'), ('is', 'VBZ'), ('possible', 'JJ'), ('when', 'WRB'), ('it', 'PRP'), ('contains', 'VBZ'), ('and', 'CC'), ('under', 'IN'), ('certain', 'JJ'), ('terms', 'NNS'), ('performs', 'VBP'), ('the', 'DT'), ('possibility', 'NN'), ('of', 'IN'), ('its', 'PRP$'), ('actualisation', 'NN'), (',', ','), ('a', 'DT'), ('world', 'NN'), ('is', 'VBZ'), ('potential', 'JJ'), ('when', 'WRB'), ('it', 'PRP'), ('can', 'MD'), ('maintain', 'VB'), ('its', 'PRP$'), ('potentiality', 'NN'), ('and', 'CC'), ('never', 'RB'), ('actualize', 'VB'), ('itself', 'PRP'), ('into', 'IN'), ('one', 'CD'), ('actual', 'JJ'), ('form', 'NN'), ('.', '.'), ('The', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('collective', 'JJ'), ('body', 'NN'), ('that', 'WDT'), ('undecidability', 'JJ'), ('produces', 'NNS'), ('could', 'MD'), ('of', 'IN'), ('course', 'NN'), ('be', 'VB'), ('seen', 'VBN'), ('as', 'IN'), ('an', 'DT'), ('image', 'NN'), ('of', 'IN'), ('a', 'DT'), ('possible', 'JJ'), ('or', 'CC'), ('future', 'JJ'), ('societal', 'JJ'), ('structure', 'NN'), (',', ','), ('but', 'CC'), ('it', 'PRP'), ('is', 'VBZ'), ('rather', 'RB'), ('an', 'DT'), ('enigmatic', 'JJ'), ('subject', 'NN'), (':', ':'), ('it', 'PRP'), ('is', 'VBZ'), ('not', 'RB'), ('there', 'RB'), ('to', 'TO'), ('actualize', 'VB'), ('itself', 'PRP'), ('but', 'CC'), ('to', 'TO'), ('keep', 'VB'), ('being', 'VBG'), ('a', 'DT'), ('sheer', 'NN'), (',', ','), ('glimmering', 'VBG'), ('potentiality', 'NN'), ('.', '.'), ('If', 'IN'), ('the', 'DT'), ('coexistence', 'NN'), ('of', 'IN'), ('different', 'JJ'), ('media', 'NNS'), ('already', 'RB'), ('implies', 'VBZ'), ('different', 'JJ'), ('angles', 'NNS'), (',', ','), ('durations', 'NNS'), (',', ','), ('discourses', 'NNS'), (',', ','), ('and', 'CC'), ('forms', 'NNS'), ('of', 'IN'), ('spectatorship', 'NN'), (',', ','), ('the', 'DT'), ('performance', 'NN'), ('itself', 'PRP'), ('keeps', 'VBZ'), ('an', 'DT'), ('undecidable', 'JJ'), ('bound', 'NN'), ('between', 'IN'), ('its', 'PRP$'), ('real', 'JJ'), ('and', 'CC'), ('fictional', 'JJ'), ('ontologies', 'NNS'), ('.', '.'), ('Which', 'NNP'), ('is', 'VBZ'), ('to', 'TO'), ('say', 'VB'), (',', ','), ('if', 'IN'), ('it', 'PRP'), ('doesn', 'VBZ'), ('’', 'JJ'), ('t', 'NNS'), ('give', 'VBP'), ('up', 'RP'), ('on', 'IN'), ('involving', 'VBG'), ('radically', 'RB'), ('different', 'JJ'), ('realities', 'NNS'), ('into', 'IN'), ('its', 'PRP$'), ('operation', 'NN'), ('modes', 'NNS'), ('and', 'CC'), ('doesn', 'NN'), ('’', 'NNP'), ('t', 'NN'), ('fade', 'VBD'), ('out', 'RP'), ('from', 'IN'), ('the', 'DT'), ('scene', 'NN'), ('of', 'IN'), ('the', 'DT'), ('‘', 'NNP'), ('real', 'JJ'), ('’', 'JJ'), ('world', 'NN'), ('.', '.'), ('In', 'IN'), ('particular', 'JJ'), (',', ','), ('the', 'DT'), ('potentiality', 'NN'), ('generated', 'VBN'), ('by', 'IN'), ('undecidable', 'JJ'), ('artworks', 'NNS'), ('is', 'VBZ'), ('grounded', 'VBN'), ('in', 'IN'), ('a', 'DT'), ('logic', 'NN'), ('of', 'IN'), ('addition', 'NN'), ('and', 'CC'), ('contradiction', 'NN'), ('that', 'WDT'), ('is', 'VBZ'), ('specific', 'JJ'), ('of', 'IN'), ('art', 'NN'), ('.', '.'), ('If', 'IN'), ('the', 'DT'), ('coexistence', 'NN'), ('of', 'IN'), ('different', 'JJ'), ('media', 'NNS'), ('already', 'RB'), ('implies', 'VBZ'), ('different', 'JJ'), ('angles', 'NNS'), (',', ','), ('durations', 'NNS'), (',', ','), ('discourses', 'NNS'), (',', ','), ('and', 'CC'), ('forms', 'NNS'), ('of', 'IN'), ('spectatorship', 'NN'), (',', ','), ('the', 'DT'), ('performance', 'NN'), ('itself', 'PRP'), ('keeps', 'VBZ'), ('an', 'DT'), ('undecidable', 'JJ'), ('bound', 'NN'), ('between', 'IN'), ('its', 'PRP$'), ('real', 'JJ'), ('and', 'CC'), ('fictional', 'JJ'), ('ontologies', 'NNS'), ('.', '.'), ('In', 'IN'), ('fact', 'NN'), (',', ','), ('undecidability', 'NN'), ('is', 'VBZ'), ('a', 'DT'), ('specific', 'JJ'), ('force', 'NN'), ('at', 'IN'), ('work', 'NN'), ('that', 'WDT'), ('consciously', 'RB'), ('articulates', 'VBZ'), (',', ','), ('redefines', 'NNS'), (',', ','), ('or', 'CC'), ('alters', 'VBZ'), ('the', 'DT'), ('complex', 'JJ'), ('system', 'NN'), ('of', 'IN'), ('links', 'NNS'), (',', ','), ('bounds', 'NNS'), (',', ','), ('and', 'CC'), ('resonances', 'NNS'), ('between', 'IN'), ('different', 'JJ'), ('potential', 'NN'), ('and', 'CC'), ('actual', 'JJ'), ('worlds', 'NNS'), ('.', '.'), ('What', 'WP'), ('is', 'VBZ'), ('peculiar', 'JJ'), ('to', 'TO'), ('this', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('artworks', 'NNS'), ('then', 'RB'), (',', ','), ('and', 'CC'), ('what', 'WP'), ('within', 'IN'), ('them', 'PRP'), ('can', 'MD'), ('produce', 'VB'), ('an', 'DT'), ('understanding', 'NN'), ('of', 'IN'), ('the', 'DT'), ('place', 'NN'), ('of', 'IN'), ('art', 'NN'), ('and', 'CC'), ('of', 'IN'), ('its', 'PRP$'), ('politics', 'NNS'), ('today', 'NN'), (',', ','), ('is', 'VBZ'), ('that', 'IN'), ('they', 'PRP'), ('generate', 'VBP'), ('a', 'DT'), ('multiplicity', 'NN'), ('of', 'IN'), ('gazes', 'NNS'), ('and', 'CC'), ('of', 'IN'), ('forms', 'NNS'), ('of', 'IN'), ('spectatorship', 'NN'), ('that', 'WDT'), ('also', 'RB'), ('coexist', 'VBP'), ('one', 'CD'), ('next', 'JJ'), ('to', 'TO'), ('the', 'DT'), ('other', 'JJ'), ('without', 'IN'), ('mediating', 'VBG'), ('between', 'IN'), ('their', 'PRP$'), ('own', 'JJ'), ('positions', 'NNS'), ('and', 'CC'), ('points', 'NNS'), ('of', 'IN'), ('view', 'NN'), ('.', '.'), ('We', 'PRP'), ('might', 'MD'), ('stretch', 'VB'), ('this', 'DT'), ('line', 'NN'), ('of', 'IN'), ('thought', 'NN'), ('a', 'DT'), ('bit', 'NN'), ('further', 'JJ'), ('and', 'CC'), ('propose', 'VB'), ('that', 'IN'), ('art', 'NN'), ('’', 'NNP'), ('s', 'NN'), ('potentiality', 'NN'), ('is', 'VBZ'), ('that', 'IN'), ('of', 'IN'), ('multiplying', 'VBG'), ('the', 'DT'), ('visible', 'JJ'), ('as', 'IN'), ('an', 'DT'), ('actual', 'JJ'), ('counterstrategy', 'NN'), ('to', 'TO'), ('the', 'DT'), ('proliferation', 'NN'), ('of', 'IN'), ('images', 'NNS'), ('that', 'WDT'), ('surrounds', 'VBZ'), ('us', 'PRP'), ('.', '.'), ('Undecidability', 'NN'), ('could', 'MD'), ('then', 'RB'), ('be', 'VB'), ('detached', 'VBN'), ('from', 'IN'), ('art', 'NN'), ('and', 'CC'), ('applied', 'VBN'), ('to', 'TO'), ('curation', 'NN'), (',', ','), ('instituting', 'VBG'), ('processes', 'NNS'), ('or', 'CC'), ('even', 'RB'), ('to', 'TO'), ('politics', 'NNS'), ('at', 'IN'), ('large', 'JJ'), (':', ':'), ('the', 'DT'), ('unfolding', 'NN'), ('of', 'IN'), ('its', 'PRP$'), ('resonances', 'NNS'), ('and', 'CC'), ('consequences', 'NNS'), ('already', 'RB'), ('opens', 'VBZ'), ('this', 'DT'), ('possibility', 'NN'), ('and', 'CC'), ('even', 'RB'), ('beckons', 'NNS'), ('it', 'PRP'), ('.', '.'), ('(', '('), ('Nevertheless', 'NNP'), (',', ','), ('acknowledging', 'VBG'), ('it', 'PRP'), ('as', 'IN'), ('specific', 'JJ'), ('to', 'TO'), ('art', 'VB'), (',', ','), ('and', 'CC'), ('thus', 'RB'), ('as', 'IN'), ('a', 'DT'), ('means', 'NN'), ('without', 'IN'), ('ends', 'NNS'), (',', ','), ('seems', 'VBZ'), ('to', 'TO'), ('better', 'RBR'), ('protect', 'VB'), ('the', 'DT'), ('inner', 'JJ'), ('nature', 'NN'), ('and', 'CC'), ('the', 'DT'), ('intact', 'JJ'), ('potentiality', 'NN'), ('of', 'IN'), ('a', 'DT'), ('quality', 'NN'), ('that', 'WDT'), ('does', 'VBZ'), ('not', 'RB'), ('make', 'VB'), ('itself', 'PRP'), ('available', 'JJ'), ('for', 'IN'), ('any', 'DT'), ('use', 'NN'), ('and', 'CC'), ('does', 'VBZ'), ('not', 'RB'), ('serve', 'VB'), ('any', 'DT'), ('agenda', 'NN'), (',', ','), ('but', 'CC'), ('stays', 'VBZ'), ('autonomous', 'JJ'), ('and', 'CC'), ('operates', 'VBZ'), ('by', 'IN'), ('creating', 'VBG'), ('its', 'PRP$'), ('own', 'JJ'), ('conditions', 'NNS'), ('all', 'DT'), ('over', 'RB'), ('again', 'RB'), ('.', '.'), ('Here', 'RB'), (',', ','), ('spectators', 'NNS'), ('are', 'VBP'), ('invited', 'VBN'), ('to', 'TO'), ('enter', 'VB'), ('the', 'DT'), ('work', 'NN'), ('’', 'NNP'), ('s', 'VBD'), ('fictional', 'JJ'), ('world', 'NN'), ('carrying', 'VBG'), ('with', 'IN'), ('themselves', 'PRP'), ('the', 'DT'), ('so-called', 'JJ'), ('real', 'JJ'), ('world', 'NN'), ('and', 'CC'), ('all', 'DT'), ('their', 'PRP$'), ('other', 'JJ'), ('fictional', 'JJ'), ('worlds', 'NNS'), (';', ':'), ('a', 'DT'), ('space', 'NN'), ('is', 'VBZ'), ('created', 'VBN'), ('where', 'WRB'), ('all', 'PDT'), ('these', 'DT'), ('worlds', 'NNS'), ('are', 'VBP'), ('equally', 'RB'), ('welcomed', 'VBN'), ('.', '.'), ('Undecidability', 'NN'), ('could', 'MD'), ('then', 'RB'), ('be', 'VB'), ('detached', 'VBN'), ('from', 'IN'), ('art', 'NN'), ('and', 'CC'), ('applied', 'VBN'), ('to', 'TO'), ('curation', 'NN'), (',', ','), ('instituting', 'VBG'), ('processes', 'NNS'), ('or', 'CC'), ('even', 'RB'), ('to', 'TO'), ('politics', 'NNS'), ('at', 'IN'), ('large', 'JJ'), (':', ':'), ('the', 'DT'), ('unfolding', 'NN'), ('of', 'IN'), ('its', 'PRP$'), ('resonances', 'NNS'), ('and', 'CC'), ('consequences', 'NNS'), ('already', 'RB'), ('opens', 'VBZ'), ('this', 'DT'), ('possibility', 'NN'), ('and', 'CC'), ('even', 'RB'), ('beckons', 'NNS'), ('it', 'PRP'), ('.', '.'), ('-Nevertheless', 'NN'), (',', ','), ('acknowledging', 'VBG'), ('it', 'PRP'), ('as', 'IN'), ('specific', 'JJ'), ('to', 'TO'), ('art', 'VB'), (',', ','), ('and', 'CC'), ('thus', 'RB'), ('as', 'IN'), ('a', 'DT'), ('means', 'NN'), ('without', 'IN'), ('ends', 'NNS'), (',', ','), ('seems', 'VBZ'), ('to', 'TO'), ('better', 'RBR'), ('protect', 'VB'), ('the', 'DT'), ('inner', 'JJ'), ('nature', 'NN'), ('and', 'CC'), ('the', 'DT'), ('intact', 'JJ'), ('potentiality', 'NN'), ('of', 'IN'), ('a', 'DT'), ('quality', 'NN'), ('that', 'WDT'), ('does', 'VBZ'), ('not', 'RB'), ('make', 'VB'), ('itself', 'PRP'), ('available', 'JJ'), ('for', 'IN'), ('any', 'DT'), ('use', 'NN'), ('and', 'CC'), ('does', 'VBZ'), ('not', 'RB'), ('serve', 'VB'), ('any', 'DT'), ('agenda', 'NN'), (',', ','), ('but', 'CC'), ('stays', 'VBZ'), ('autonomous', 'JJ'), ('and', 'CC'), ('operates', 'VBZ'), ('by', 'IN'), ('creating', 'VBG'), ('its', 'PRP$'), ('own', 'JJ'), ('conditions', 'NNS'), ('all', 'DT'), ('over', 'RB'), ('again', 'RB'), ('.', '.')]
Now, you could select for example all the type of verbs:
selection = [] for word, tag in tagged: if 'NN' in tag: selection.append(word) print(selection)
['fact', 'something', 'terms', 'possibility', 'actualisation', 'world', 'potentiality', 'form', 'kind', 'body', 'produces', 'course', 'image', 'structure', 'subject', 'sheer', 'potentiality', 'coexistence', 'media', 'angles', 'durations', 'discourses', 'forms', 'spectatorship', 'performance', 'bound', 'ontologies', 'Which', 't', 'realities', 'operation', 'modes', 'doesn', '’', 't', 'scene', '‘', 'world', 'potentiality', 'artworks', 'logic', 'addition', 'contradiction', 'art', 'coexistence', 'media', 'angles', 'durations', 'discourses', 'forms', 'spectatorship', 'performance', 'bound', 'ontologies', 'fact', 'undecidability', 'force', 'work', 'redefines', 'system', 'links', 'bounds', 'resonances', 'potential', 'worlds', 'kind', 'artworks', 'understanding', 'place', 'art', 'politics', 'today', 'multiplicity', 'gazes', 'forms', 'spectatorship', 'positions', 'points', 'view', 'line', 'thought', 'bit', 'art', '’', 's', 'potentiality', 'counterstrategy', 'proliferation', 'images', 'Undecidability', 'art', 'curation', 'processes', 'politics', 'unfolding', 'resonances', 'consequences', 'possibility', 'beckons', 'Nevertheless', 'means', 'ends', 'nature', 'potentiality', 'quality', 'use', 'agenda', 'conditions', 'spectators', 'work', '’', 'world', 'world', 'worlds', 'space', 'worlds', 'Undecidability', 'art', 'curation', 'processes', 'politics', 'unfolding', 'resonances', 'consequences', 'possibility', 'beckons', '-Nevertheless', 'means', 'ends', 'nature', 'potentiality', 'quality', 'use', 'agenda', 'conditions']
# remove overlapped words, using set() selection = [] for word, tag in tagged: if 'NN' in tag: selection.append(word) print(set(selection))
{'today', 'proliferation', 'angles', 'art', 'worlds', 'counterstrategy', 'image', 'performance', 'consequences', 'sheer', 'addition', 'kind', 'means', 'work', 's', '’', '-Nevertheless', 'course', 'terms', 'line', 'spectators', 'spectatorship', 'world', 'thought', 'Undecidability', 'Which', 'images', 'bound', 'actualisation', 'something', 'forms', 'place', 'conditions', 'produces', 't', 'use', 'multiplicity', 'durations', 'points', 'undecidability', 'resonances', 'politics', 'realities', 'quality', 'discourses', 'system', 'operation', 'view', 'scene', 'agenda', 'body', 'modes', '‘', 'structure', 'force', 'potentiality', 'processes', 'redefines', 'ontologies', 'links', 'curation', 'beckons', 'possibility', 'ends', 'bounds', 'space', 'coexistence', 'media', 'potential', 'Nevertheless', 'form', 'nature', 'fact', 'understanding', 'positions', 'bit', 'artworks', 'doesn', 'logic', 'unfolding', 'contradiction', 'gazes', 'subject'}
#gotta use stopwords.(), because i dont need unnecessary characters, such as , . 'etc.
nnrando2 = random.choices(selection, k=6) print(nnrando2)
['potentiality', 'consequences', 'images', 'world', 'art', 'gazes']
nnand2 = " and ".join(nnrando2) print(nnand2)
potentiality and consequences and images and world and art and gazes
nnrando3 = random.choices(selection, k=6) print(nnrando3)
['system', 'conditions', 'bounds', 'bound', 'redefines', 'force']
nnand3 = " and ".join(nnrando3) print(nnand3)
system and conditions and bounds and bound and redefines and force
nnrando4 = random.choices(selection, k=6) print(nnrando4)
['potentiality', 'fact', 'place', 'worlds', 'Nevertheless', 'conditions']
nnand4 = " and ".join(nnrando4) print(nnand4)
potentiality and fact and place and worlds and Nevertheless and conditions
nnrando5 = random.choices(selection, k=6) print(nnrando5)
['subject', 'forms', 'nature', 'modes', 'forms', 'gazes']
nnand5 = " and ".join(nnrando5) print(nnand5)
subject and forms and nature and modes and forms and gazes
selection = [] for word, tag in tagged: if 'VB' in tag: selection.append(word) print(selection)
['is', 'contains', 'performs', 'is', 'maintain', 'actualize', 'be', 'seen', 'is', 'is', 'actualize', 'keep', 'being', 'glimmering', 'implies', 'keeps', 'is', 'say', 'doesn', 'give', 'involving', 'fade', 'generated', 'is', 'grounded', 'is', 'implies', 'keeps', 'is', 'articulates', 'alters', 'is', 'produce', 'is', 'generate', 'coexist', 'mediating', 'stretch', 'propose', 'is', 'multiplying', 'surrounds', 'be', 'detached', 'applied', 'instituting', 'opens', 'acknowledging', 'art', 'seems', 'protect', 'does', 'make', 'does', 'serve', 'stays', 'operates', 'creating', 'are', 'invited', 'enter', 's', 'carrying', 'is', 'created', 'are', 'welcomed', 'be', 'detached', 'applied', 'instituting', 'opens', 'acknowledging', 'art', 'seems', 'protect', 'does', 'make', 'does', 'serve', 'stays', 'operates', 'creating']
selection = [] for word, tag in tagged: if 'VB' in tag: selection.append(word) print(set(selection))
{'actualize', 'keep', 'instituting', 'protect', 'operates', 'make', 'being', 'art', 'serve', 'detached', 'are', 'articulates', 'welcomed', 'maintain', 'contains', 'created', 'produce', 'performs', 'applied', 'does', 'surrounds', 'say', 'carrying', 'generate', 'coexist', 'generated', 'seen', 'be', 'stretch', 'multiplying', 'alters', 'enter', 'give', 'creating', 'is', 'glimmering', 's', 'seems', 'acknowledging', 'implies', 'invited', 'stays', 'mediating', 'propose', 'doesn', 'fade', 'grounded', 'involving', 'keeps', 'opens'}
vbrando = random.choices(selection, k=6) print(vbrando)
['alters', 'is', 'keep', 'is', 'detached', 'glimmering']
vband = " and ".join(vbrando) print(vband)
alters and is and keep and is and detached and glimmering
vbrando2 = random.choices(selection, k=6) print(vbrando2)
['detached', 'invited', 'seen', 'is', 'is', 'does']
vband2 = " and ".join(vbrando2) print(vband2)
detached and invited and seen and is and is and does
vbrando3 = random.choices(selection, k=6) print(vbrando3)
['glimmering', 'seems', 'seen', 'make', 'invited', 'operates']
vband3 = " and ".join(vbrando3) print(vband3)
glimmering and seems and seen and make and invited and operates
selection = [] for word, tag in tagged: if 'JJ' in tag: selection.append(word) print(selection)
['possible', 'certain', 'potential', 'actual', 'collective', 'undecidability', 'possible', 'future', 'societal', 'enigmatic', 'different', 'different', 'undecidable', 'real', 'fictional', '’', 'different', 'real', '’', 'particular', 'undecidable', 'specific', 'different', 'different', 'undecidable', 'real', 'fictional', 'specific', 'complex', 'different', 'actual', 'peculiar', 'next', 'other', 'own', 'further', 'visible', 'actual', 'large', 'specific', 'inner', 'intact', 'available', 'autonomous', 'own', 'fictional', 'so-called', 'real', 'other', 'fictional', 'large', 'specific', 'inner', 'intact', 'available', 'autonomous', 'own']
selection = [] for word, tag in tagged: if 'JJ' in tag: selection.append(word) print(set(selection))
{'next', 'undecidable', 'different', 'large', 'undecidability', 'societal', 'complex', 'enigmatic', 'autonomous', 'fictional', 'potential', 'available', 'further', 'actual', 'inner', 'future', 'intact', 'own', '’', 'so-called', 'real', 'certain', 'particular', 'specific', 'other', 'visible', 'collective', 'peculiar', 'possible'}
jjrando = random.choices(selection, k=6) print(jjrando)
['possible', 'real', 'undecidability', 'collective', 'actual', 'other']
jjand = " and ".join(jjrando) print(jjand)
possible and real and undecidability and collective and actual and other
jjrando2 = random.choices(selection, k=6) print(jjrando2)
['particular', 'real', 'inner', 'different', 'autonomous', 'specific']
jjand2 = " and ".join(jjrando2) print(jjand2)
particular and real and inner and different and autonomous and specific
jjrando3 = random.choices(selection, k=6) print(jjrando3)
['specific', 'future', 'actual', 'next', 'own', 'own']
jjand3 = " and ".join(jjrando3) print(jjand3)
specific and future and actual and next and own and own
selection = [] for word, tag in tagged: if 'DT' in tag: selection.append(word) print(selection)
['the', 'a', 'The', 'that', 'an', 'a', 'an', 'a', 'the', 'the', 'an', 'the', 'the', 'the', 'a', 'that', 'the', 'the', 'an', 'a', 'that', 'the', 'this', 'an', 'the', 'a', 'that', 'the', 'this', 'a', 'the', 'an', 'the', 'that', 'the', 'this', 'a', 'the', 'the', 'a', 'that', 'any', 'any', 'all', 'the', 'the', 'all', 'a', 'all', 'these', 'the', 'this', 'a', 'the', 'the', 'a', 'that', 'any', 'any', 'all']
selection = [] for word, tag in tagged: if 'CC' in tag: selection.append(word) print(selection)
['and', 'and', 'or', 'but', 'but', 'and', 'and', 'and', 'and', 'and', 'and', 'or', 'and', 'and', 'and', 'and', 'and', 'and', 'and', 'and', 'or', 'and', 'and', 'and', 'and', 'and', 'but', 'and', 'and', 'and', 'or', 'and', 'and', 'and', 'and', 'and', 'but', 'and']
selection = [] for word, tag in tagged: if 'CD' in tag: selection.append(word) print(selection)
['one', 'one']
selection = [] for word, tag in tagged: if 'IN' in tag: selection.append(word) print(selection)
['In', 'if', 'under', 'of', 'into', 'of', 'of', 'as', 'of', 'If', 'of', 'of', 'between', 'if', 'on', 'into', 'from', 'of', 'In', 'by', 'in', 'of', 'of', 'If', 'of', 'of', 'between', 'In', 'at', 'of', 'between', 'of', 'within', 'of', 'of', 'of', 'that', 'of', 'of', 'of', 'without', 'between', 'of', 'of', 'that', 'that', 'of', 'as', 'of', 'from', 'at', 'of', 'as', 'as', 'without', 'of', 'for', 'by', 'with', 'from', 'at', 'of', 'as', 'as', 'without', 'of', 'for', 'by']
selection = [] for word, tag in tagged: if 'RB' in tag: selection.append(word) print(selection)
['when', 'when', 'never', 'rather', 'not', 'there', 'already', 'radically', 'already', 'consciously', 'then', 'also', 'then', 'even', 'already', 'even', 'thus', 'better', 'not', 'not', 'over', 'again', 'Here', 'where', 'equally', 'then', 'even', 'already', 'even', 'thus', 'better', 'not', 'not', 'over', 'again']
selection = [] for word, tag in tagged: if 'RBR' in tag: selection.append(word) print(selection)
['better', 'better']
selection = [] for word, tag in tagged: if 'RBS' in tag: selection.append(word) print(selection)
[]
Where do these tags come from?¶
An off-the-shelf tagger is available for English. It uses the Penn Treebank tagset.
NLTK provides documentation for each tag, which can be queried using the tag, e.g. nltk.help.upenn_tagset('RB').
nltk.help.upenn_tagset('RB')
--------------------------------------------------------------------------- LookupError Traceback (most recent call last) <ipython-input-47-3ec8764fce3e> in <module> ----> 1 nltk.help.upenn_tagset('RB') /usr/local/lib/python3.7/dist-packages/nltk/help.py in upenn_tagset(tagpattern) 25 26 def upenn_tagset(tagpattern=None): ---> 27 _format_tagset("upenn_tagset", tagpattern) 28 29 /usr/local/lib/python3.7/dist-packages/nltk/help.py in _format_tagset(tagset, tagpattern) 44 45 def _format_tagset(tagset, tagpattern=None): ---> 46 tagdict = load("help/tagsets/" + tagset + ".pickle") 47 if not tagpattern: 48 _print_entries(sorted(tagdict), tagdict) /usr/local/lib/python3.7/dist-packages/nltk/data.py in load(resource_url, format, cache, verbose, logic_parser, fstruct_reader, encoding) 750 751 # Load the resource. --> 752 opened_resource = _open(resource_url) 753 754 if format == "raw": /usr/local/lib/python3.7/dist-packages/nltk/data.py in _open(resource_url) 875 876 if protocol is None or protocol.lower() == "nltk": --> 877 return find(path_, path + [""]).open() 878 elif protocol.lower() == "file": 879 # urllib might not use mode='rb', so handle this one ourselves: /usr/local/lib/python3.7/dist-packages/nltk/data.py in find(resource_name, paths) 583 sep = "*" * 70 584 resource_not_found = "\n%s\n%s\n%s\n" % (sep, msg, sep) --> 585 raise LookupError(resource_not_found) 586 587 LookupError: ********************************************************************** Resource tagsets not found. Please use the NLTK Downloader to obtain the resource: >>> import nltk >>> nltk.download('tagsets') For more information see: https://www.nltk.org/data.html Attempted to load help/tagsets/PY3/upenn_tagset.pickle Searched in: - '/home/namikim/nltk_data' - '/usr/nltk_data' - '/usr/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/share/nltk_data' - '/usr/local/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/local/lib/nltk_data' - '' **********************************************************************
An alphabetical list of part-of-speech tags used in the Penn Treebank Project (link):
Number
|
Tag
|
Description
|
1. | CC | Coordinating conjunction |
2. | CD | Cardinal number |
3. | DT | Determiner |
4. | EX | Existential there |
5. | FW | Foreign word |
6. | IN | Preposition or subordinating conjunction |
7. | JJ | Adjective |
8. | JJR | Adjective, comparative |
9. | JJS | Adjective, superlative |
10. | LS | List item marker |
11. | MD | Modal |
12. | NN | Noun, singular or mass |
13. | NNS | Noun, plural |
14. | NNP | Proper noun, singular |
15. | NNPS | Proper noun, plural |
16. | PDT | Predeterminer |
17. | POS | Possessive ending |
18. | PRP | Personal pronoun |
19. | PRP\$ | Possessive pronoun |
20. | RB | Adverb |
21. | RBR | Adverb, comparative |
22. | RBS | Adverb, superlative |
23. | RP | Particle |
24. | SYM | Symbol |
25. | TO | to |
26. | UH | Interjection |
27. | VB | Verb, base form |
28. | VBD | Verb, past tense |
29. | VBG | Verb, gerund or present participle |
30. | VBN | Verb, past participle |
31. | VBP | Verb, non-3rd person singular present |
32. | VBZ | Verb, 3rd person singular present |
33. | WDT | Wh-determiner |
34. | WP | Wh-pronoun |
35. | WP$ | Possessive wh-pronoun |
36. | WRB | Wh-adverb |
A telling/tricky case¶
It's important to realize that POS tagging is not a fixed property of a word -- but depends on the context of each word. The NLTK book gives an example of homonyms -- words that are written the same, but are actually pronounced differently and have different meanings depending on their use.
text = nltk.word_tokenize("They refuse to permit us to obtain the refuse permit") nltk.pos_tag(text)
From the book:
Notice that refuse and permit both appear as a present tense verb (VBP) and a noun (NN). E.g. refUSE is a verb meaning "deny," while REFuse is a noun meaning "trash" (i.e. they are not homophones). Thus, we need to know which word is being used in order to pronounce the text correctly. (For this reason, text-to-speech systems usually perform POS-tagging.)
Applying to an entire text¶
language = open('../txt/language.txt').read() tokens = nltk.word_tokenize(language) tagged = nltk.pos_tag(tokens)
tagged
words = "in the beginning was heaven and earth and the time of the whatever".split()
words
words.index("the")
for i, word in enumerate(words): if word == "the": print (i, word) else: print (word.upper())
import random words = {} words["VB"] = [] for word in nltk.word_tokenize("in the beginning was heaven and earth and the time of the whatever"): words["VB"].append(word) random.choice(words["VB"])