NLTK Archives - icodebroker

[PYTHON/NLTK] pos_tag 함수 : 단어 토큰 리스트의 단어 토큰에 태그를 설정한 단어 토큰/태그 튜플 리스트 구하기

■ pos_tag 함수를 사용해 단어 토큰 리스트의 단어 토큰에 태그를 설정한 단어 토큰/태그 튜플 리스트를 구하는 방법을 보여준다. ▶ main.py


import nltk

wordTokenList = nltk.word_tokenize("""덴마크 항구 도시에는 오래된 성이 하나 있다.
바로 외국인들은 엘시노어라고 알고 있는 '크론보르크 성'이다.
크론보르크는 덴마크와 스웨덴 사이에 있는 외레순 해협의 끝에 있었다."""
)

wordTokenTagTupleList = nltk.pos_tag(wordTokenList)

print(wordTokenTagTupleList)

"""
[('덴마크', 'JJ'), ('항구', 'NNP'), ('도시에는', 'NNP'), ('오래된', 'NNP'), ('성이', 'NNP'), ('하나', 'NNP'), ('있다', 'NNP'), ('.', '.'), ('바로', 'VB'), ('외국인들은', 'JJ'), ('엘시노어라고', 'NNP'), ('알고', 'NNP'), ('있는', 'NNP'), ("'크론보르크", 'POS'), ("성'이다", 'NN'), ('.', '.'), ('크론보르크는', 'CC'), ('덴마크와', 'JJ'), ('스웨덴', 'NNP'), ('사이에', 'NNP'), ('있는', 'NNP'), ('외레순', 'NNP'), ('해협의', 'NNP'), ('끝에', 'NNP'), ('있었다', 'NNP'), ('.', '.')]
"""

import nltk

wordTokenList = nltk.word_tokenize("""덴마크 항구 도시에는 오래된 성이 하나 있다.

바로 외국인들은 엘시노어라고 알고 있는 '크론보르크 성'이다.

크론보르크는 덴마크와 스웨덴 사이에 있는 외레순 해협의 끝에 있었다."""

)

wordTokenTagTupleList = nltk.pos_tag(wordTokenList)

print(wordTokenTagTupleList)

"""

[('덴마크', 'JJ'), ('항구', 'NNP'), ('도시에는', 'NNP'), ('오래된', 'NNP'), ('성이', 'NNP'), ('하나', 'NNP'), ('있다', 'NNP'), ('.', '.'), ('바로', 'VB'), ('외국인들은', 'JJ'), ('엘시노어라고', 'NNP'), ('알고', 'NNP'), ('있는', 'NNP'), ("'크론보르크", 'POS'), ("성'이다", 'NN'), ('.', '.'), ('크론보르크는', 'CC'), ('덴마크와', 'JJ'), ('스웨덴', 'NNP'), ('사이에', 'NNP'), ('있는', 'NNP'), ('외레순', 'NNP'), ('해협의', 'NNP'), ('끝에', 'NNP'), ('있었다', 'NNP'), ('.', '.')]

"""

▶

[PYTHON/NLTK] word_tokenize 함수 : 단어 토큰 리스트 구하기

■ word_tokenize 함수를 사용해 단어 토큰 리스트를 구하는 방법을 보여준다. ▶ main.py


import nltk

wordTokenList = nltk.word_tokenize("""덴마크 항구 도시에는 오래된 성이 하나 있다.
바로 외국인들은 엘시노어라고 알고 있는 '크론보르크 성'이다.
크론보르크는 덴마크와 스웨덴 사이에 있는 외레순 해협의 끝에 있었다."""
)

print(wordTokenList)

"""
['덴마크', '항구', '도시에는', '오래된', '성이', '하나', '있다', '.', '바로', '외국인들은', '엘시노어라고', '알고', '있는', "'크론보르크", "성'이다", '.', '크론보르크는', '덴마크와', '스웨덴', '사이에', '있는', '외레순', '해협의', '끝에', '있었다', '.']
"""

import nltk

wordTokenList = nltk.word_tokenize("""덴마크 항구 도시에는 오래된 성이 하나 있다.

바로 외국인들은 엘시노어라고 알고 있는 '크론보르크 성'이다.

크론보르크는 덴마크와 스웨덴 사이에 있는 외레순 해협의 끝에 있었다."""

)

print(wordTokenList)

"""

['덴마크', '항구', '도시에는', '오래된', '성이', '하나', '있다', '.', '바로', '외국인들은', '엘시노어라고', '알고', '있는', "'크론보르크", "성'이다", '.', '크론보르크는', '덴마크와', '스웨덴', '사이에', '있는', '외레순', '해협의', '끝에', '있었다', '.']

"""

▶ requirements.txt


click==8.1.7
joblib==1.4.2
nltk==3.8.1
regex==2024.5.15
tqdm==4.66.4

click==8.1.7

joblib==1.4.2

nltk==3.8.1

regex==2024.5.15

tqdm==4.66.4

※ pip install nltk 명령을 실행했다.

[PYTHON/NLTK] download 함수 : 특정 서브 패키지 다운로드 받기

■ download 함수를 사용해 특정 서브 패키지를 다운로드 받는 방법을 보여준다. ▶ main.py


import nltk

nltk.download("punkt")
nltk.download("averaged_perceptron_tagger")

import nltk

nltk.download("punkt")

nltk.download("averaged_perceptron_tagger")

▶ 서브 패키지 목록


abc................. Australian Broadcasting Commission 2006
alpino.............. Alpino Dutch Treebank
averaged_perceptron_tagger_ru Averaged Perceptron Tagger (Russian)
basque_grammars..... Grammars for Basque
bcp47............... BCP-47 Language Tags
biocreative_ppi..... BioCreAtIvE (Critical Assessment of Information Extraction Systems in Biology)
bllip_wsj_no_aux.... BLLIP Parser: WSJ Model
book_grammars....... Grammars from NLTK Book
brown............... Brown Corpus
brown_tei........... Brown Corpus (TEI XML Version)
cess_cat............ CESS-CAT Treebank
cess_esp............ CESS-ESP Treebank
chat80.............. Chat-80 Data Files
city_database....... City Database
cmudict............. The Carnegie Mellon Pronouncing Dictionary (0.6)
comparative_sentences Comparative Sentence Dataset
comtrans............ ComTrans Corpus Sample
conll2000........... CONLL 2000 Chunking Corpus
conll2002........... CONLL 2002 Named Entity Recognition Corpus
conll2007........... Dependency Treebanks from CoNLL 2007 (Catalan and Basque Subset)
crubadan............ Crubadan Corpus
dependency_treebank. Dependency Parsed Treebank
dolch............... Dolch Word List
europarl_raw........ Sample European Parliament Proceedings Parallel Corpus
extended_omw........ Extended Open Multilingual WordNet
floresta............ Portuguese Treebank
framenet_v15........ FrameNet 1.5
framenet_v17........ FrameNet 1.7
gazetteers.......... Gazeteer Lists
genesis............. Genesis Corpus
gutenberg........... Project Gutenberg Selections
ieer................ NIST IE-ER DATA SAMPLE
inaugural........... C-Span Inaugural Address Corpus
indian.............. Indian Language POS-Tagged Corpus
jeita............... JEITA Public Morphologically Tagged Corpus (in ChaSen format)
kimmo............... PC-KIMMO Data Files
knbc................ KNB Corpus (Annotated blog corpus)
large_grammars...... Large context-free and feature-based grammars for parser comparison
lin_thesaurus....... Lin's Dependency Thesaurus
mac_morpho.......... MAC-MORPHO: Brazilian Portuguese news text with part-of-speech tags
machado............. Machado de Assis -- Obra Completa
masc_tagged......... MASC Tagged Corpus
maxent_ne_chunker... ACE Named Entity Chunker (Maximum entropy)
maxent_treebank_pos_tagger Treebank Part of Speech Tagger (Maximum entropy)
moses_sample........ Moses Sample Models
movie_reviews....... Sentiment Polarity Dataset Version 2.0
mte_teip5........... MULTEXT-East 1984 annotated corpus 4.0
mwa_ppdb............ The monolingual word aligner (Sultan et al. 2015) subset of the Paraphrase Database.
names............... Names Corpus, Version 1.3 (1994-03-29)
nombank.1.0......... NomBank Corpus 1.0
nonbreaking_prefixes Non-Breaking Prefixes (Moses Decoder)
nps_chat............ NPS Chat
omw-1.4............. Open Multilingual Wordnet
omw................. Open Multilingua
panlex_swadesh...... PanLex Swadesh Corpora
paradigms........... Paradigm Corpus
pe08................ Cross-Framework and Cross-Domain Parser Evaluation Shared Task
perluniprops........ perluniprops: Index of Unicode Version 7.0.0 character properties in Perl
pil................. The Patient Information Leaflet (PIL) Corpus
pl196x.............. Polish language of the XX century sixties
porter_test......... Porter Stemmer Test Files
ppattach............ Prepositional Phrase Attachment Corpus
problem_reports..... Problem Report Corpus
product_reviews_1... Product Reviews (5 Products)
product_reviews_2... Product Reviews (9 Products)
propbank............ Proposition Bank Corpus 1.0
pros_cons........... Pros and Cons
ptb................. Penn Treebank
qc.................. Experimental Data for Question Classification
reuters............. The Reuters-21578 benchmark corpus, ApteMod version
rslp................ RSLP Stemmer (Removedor de Sufixos da Lingua Portuguesa)
rte................. PASCAL RTE Challenges 1, 2, and 3
sample_grammars..... Sample Grammars
semcor.............. SemCor 3.0
senseval............ SENSEVAL 2 Corpus: Sense Tagged Text
sentence_polarity... Sentence Polarity Dataset v1.0
sentiwordnet........ SentiWordNet
shakespeare......... Shakespeare XML Corpus Sample
sinica_treebank..... Sinica Treebank Corpus Sample
smultron............ SMULTRON Corpus Sample
snowball_data....... Snowball Data
spanish_grammars.... Grammars for Spanish
state_union......... C-Span State of the Union Address Corpus
stopwords........... Stopwords Corpus
subjectivity........ Subjectivity Dataset v1.0
swadesh............. Swadesh Wordlists
switchboard......... Switchboard Corpus Sample
tagsets............. Help on Tagsets
timit............... TIMIT Corpus Sample
toolbox............. Toolbox Sample Files
treebank............ Penn Treebank Sample
twitter_samples..... Twitter Samples
all-corpora......... All the corpora

abc................. Australian Broadcasting Commission 2006

alpino.............. Alpino Dutch Treebank

averaged_perceptron_tagger_ru Averaged Perceptron Tagger (Russian)

basque_grammars..... Grammars for Basque

bcp47............... BCP-47 Language Tags

biocreative_ppi..... BioCreAtIvE (Critical Assessment of Information Extraction Systems in Biology)

bllip_wsj_no_aux.... BLLIP Parser: WSJ Model

book_grammars....... Grammars from NLTK Book

brown............... Brown Corpus

brown_tei........... Brown Corpus (TEI XML Version)

cess_cat............ CESS-CAT Treebank

cess_esp............ CESS-ESP Treebank

chat80.............. Chat-80 Data Files

city_database....... City Database

cmudict............. The Carnegie Mellon Pronouncing Dictionary (0.6)

comparative_sentences Comparative Sentence Dataset

comtrans............ ComTrans Corpus Sample

conll2000........... CONLL 2000 Chunking Corpus

conll2002........... CONLL 2002 Named Entity Recognition Corpus

conll2007........... Dependency Treebanks from CoNLL 2007 (Catalan and Basque Subset)

crubadan............ Crubadan Corpus

dependency_treebank. Dependency Parsed Treebank

dolch............... Dolch Word List

europarl_raw........ Sample European Parliament Proceedings Parallel Corpus

extended_omw........ Extended Open Multilingual WordNet

floresta............ Portuguese Treebank

framenet_v15........ FrameNet 1.5

framenet_v17........ FrameNet 1.7

gazetteers.......... Gazeteer Lists

genesis............. Genesis Corpus

gutenberg........... Project Gutenberg Selections

ieer................ NIST IE-ER DATA SAMPLE

inaugural........... C-Span Inaugural Address Corpus

indian.............. Indian Language POS-Tagged Corpus

jeita............... JEITA Public Morphologically Tagged Corpus (in ChaSen format)

kimmo............... PC-KIMMO Data Files

knbc................ KNB Corpus (Annotated blog corpus)

large_grammars...... Large context-free and feature-based grammars for parser comparison

lin_thesaurus....... Lin's Dependency Thesaurus

mac_morpho.......... MAC-MORPHO: Brazilian Portuguese news text with part-of-speech tags

machado............. Machado de Assis -- Obra Completa

masc_tagged......... MASC Tagged Corpus

maxent_ne_chunker... ACE Named Entity Chunker (Maximum entropy)

maxent_treebank_pos_tagger Treebank Part of Speech Tagger (Maximum entropy)

moses_sample........ Moses Sample Models

movie_reviews....... Sentiment Polarity Dataset Version 2.0

mte_teip5........... MULTEXT-East 1984 annotated corpus 4.0

mwa_ppdb............ The monolingual word aligner (Sultan et al. 2015) subset of the Paraphrase Database.

names............... Names Corpus, Version 1.3 (1994-03-29)

nombank.1.0......... NomBank Corpus 1.0

nonbreaking_prefixes Non-Breaking Prefixes (Moses Decoder)

nps_chat............ NPS Chat

omw-1.4............. Open Multilingual Wordnet

omw................. Open Multilingua

panlex_swadesh...... PanLex Swadesh Corpora

paradigms........... Paradigm Corpus

pe08................ Cross-Framework and Cross-Domain Parser Evaluation Shared Task

perluniprops........ perluniprops: Index of Unicode Version 7.0.0 character properties in Perl

pil................. The Patient Information Leaflet (PIL) Corpus

pl196x.............. Polish language of the XX century sixties

porter_test......... Porter Stemmer Test Files

ppattach............ Prepositional Phrase Attachment Corpus

problem_reports..... Problem Report Corpus

product_reviews_1... Product Reviews (5 Products)

product_reviews_2... Product Reviews (9 Products)

propbank............ Proposition Bank Corpus 1.0

pros_cons........... Pros and Cons

ptb................. Penn Treebank

qc.................. Experimental Data for Question Classification

reuters............. The Reuters-21578 benchmark corpus, ApteMod version

rslp................ RSLP Stemmer (Removedor de Sufixos da Lingua Portuguesa)

rte................. PASCAL RTE Challenges 1, 2, and 3

sample_grammars..... Sample Grammars

semcor.............. SemCor 3.0

senseval............ SENSEVAL 2 Corpus: Sense Tagged Text

sentence_polarity... Sentence Polarity Dataset v1.0

sentiwordnet........ SentiWordNet

shakespeare......... Shakespeare XML Corpus Sample

sinica_treebank..... Sinica Treebank Corpus Sample

smultron............ SMULTRON Corpus Sample

snowball_data....... Snowball Data

spanish_grammars.... Grammars for Spanish

state_union......... C-Span State of the Union Address Corpus

stopwords........... Stopwords Corpus

subjectivity........ Subjectivity Dataset v1.0

swadesh............. Swadesh Wordlists

switchboard......... Switchboard Corpus Sample

tagsets............. Help on Tagsets

timit............... TIMIT Corpus Sample

toolbox............. Toolbox Sample Files

treebank............ Penn Treebank Sample

twitter_samples..... Twitter Samples

all-corpora......... All the corpora

▶ requirements.txt


click==8.1.7
joblib==1.4.2
nltk==3.8.1
regex==2024.5.15
tqdm==4.66.4

click==8.1.7

joblib==1.4.2

nltk==3.8.1

regex==2024.5.15

tqdm==4.66.4

[PYTHON/NLTK] download 함수 : 서브 패키지 다운로드 받기

■ download 함수를 사용해 서브 패키지를 다운로드 받는 방법을 보여준다. ※ 윈도우즈나 우분투에서는 아래와 같은 윈도우가 표시되어서 서브 패키지를 다운로드 할 수

[PYTHON/COMMON] nltk 패키지 설치하기

■ nltk 패키지를 설치하는 방법을 보여준다. 1. 명령 프롬프트를 실행한다. 2. 명령 프롬프트에서 아래 명령을 실행한다. ▶ 실행 명령


pip install nltk

pip install nltk