文件名称：动手nltk教程：Python中用于NLP的动手NLTK教程
文件大小：21.76MB
文件格式：ZIP
更新时间：2024-02-24 12:04:17
nlp tutorial didactic binder jupyter
动手nltk教程：Python中用于NLP的动手NLTK教程
【文件预览】：
hands-on-nltk-tutorial-master
----3-1-Bigrams-Stemming-and-Lemmatizing.ipynb(60KB)
----6-2-Twitter-Search.ipynb(158KB)
----2-1-Deriving-N-Grams-from-Text.ipynb(18KB)
----bible_word2vec_org(12.12MB)
----8-2-Word2vec-(gensim).ipynb(19KB)
----7-1-NLTK-with-the-Greek-Script.ipynb(7KB)
----5-2-Sentiment-Analysis-with-nltk.sentiment.SentimentAnalyzer-and-VADER-tools.ipynb(14KB)
----PULL_REQUEST_TEMPLATE.md(418B)
----6-1-Twitter-Stream-and-Cleaning-Tweets.ipynb(32KB)
----ngram_langid_files()
--------LangId.train.Italian.txt(486KB)
--------French.bigram.pickle(676KB)
--------English.bigram.pickle(609KB)
--------LangId.sol.txt(3KB)
--------LangId.train.French.txt(507KB)
--------Italian.unigram.pickle(114KB)
--------LangId.train.English.txt(442KB)
--------Italian.bigram.pickle(744KB)
--------English.unigram.pickle(75KB)
--------LangId.result.txt(3KB)
--------French.unigram.pickle(104KB)
--------LangId.test.txt(49KB)
----5-1-Sentiment-Analysis.ipynb(8.39MB)
----4-1-Name-Gender-Identifier.ipynb(151KB)
----requirements.txt(77B)
----1-2-Text-Analysis-Using-nltk.text.ipynb(22KB)
----4-2-Classifying-News-Documents-into-Categories.ipynb(41.72MB)
----3-4-Parts-of-Speech-and-Meaning.ipynb(35KB)
----3-3-Creating-a-POS-Tagger.ipynb(45KB)
----CONTRIBUTING.md(238B)
----bible_word2vec_vocabulary(54KB)
----2-3-Language-Identifier-Using-Word-Bigrams.ipynb(105KB)
----2-2-Detecting-Text-Language-by-Counting-Stop-Words.ipynb(16KB)
----LICENSE(1KB)
----8-1-The-langdetect-and-langid-Libraries.ipynb(6KB)
----README.md(3KB)
----bible_word2vec_gensim(12.38MB)
----3-2-Finding-Unusual-Words-in-Given-Language.ipynb(5KB)
----1-1-Downloading-Libs-and-Testing-That-They-Are-Working.ipynb(2KB)
----twitDB.txt(62KB)