{"id":13482197,"url":"https://github.com/hb20007/hands-on-nltk-tutorial","last_synced_at":"2025-03-27T12:32:48.880Z","repository":{"id":45831046,"uuid":"126728727","full_name":"hb20007/hands-on-nltk-tutorial","owner":"hb20007","description":"The hands-on NLTK tutorial for NLP in Python","archived":false,"fork":false,"pushed_at":"2024-05-28T08:02:25.000Z","size":23487,"stargazers_count":539,"open_issues_count":0,"forks_count":240,"subscribers_count":21,"default_branch":"main","last_synced_at":"2024-08-01T17:31:53.883Z","etag":null,"topics":["binder","didactic","jupyter","jupyter-notebook","jupyter-notebooks","nlp","nlp-machine-learning","nlp-resources","nltk","nltk-library","nltk3","notebook","notebook-jupyter","notebooks","tutorial","tutorials"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","readme":"[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/hb20007/hands-on-nltk-tutorial/master)\n\n# Hands-On NLTK Tutorial\n\n\u003e The hands-on NLTK tutorial in the form of Jupyter notebooks\n\nNLTK is one of the most popular Python packages for Natural Language Processing (NLP).\n\n## Index of Jupyter Notebooks\n\n|Notebooks|\n|---|\n|[1.1 Downloading Libs and Testing That They Are Working](1-1-Downloading-Libs-and-Testing-That-They-Are-Working.ipynb)\u003cbr\u003e*Getting ready to start!*|\n|[1.2 Text Analysis Using nltk.text](1-2-Text-Analysis-Using-nltk.text.ipynb)\u003cbr\u003e*Extracting interesting data from a given text*|\n|[2.1 Deriving N-Grams from Text](2-1-Deriving-N-Grams-from-Text.ipynb)\u003cbr\u003e*Creating n-grams (for language classification)*|\n|[2.2 Detecting Text Language by Counting Stop Words.ipynb](2-2-Detecting-Text-Language-by-Counting-Stop-Words.ipynb)\u003cbr\u003e*A simple way to find out what language a text is written in*|\n|[2.3 Language Identifier Using Word Bigrams](2-3-Language-Identifier-Using-Word-Bigrams.ipynb)\u003cbr\u003e*State-of-the-art language classifier*|\n|[3.1 Bigrams, Stemming and Lemmatizing](3-1-Bigrams-Stemming-and-Lemmatizing.ipynb)\u003cbr\u003e*NLTK makes bigrams, stemming and lemmatization super-easy*|\n|[3.2 Finding Unusual Words in Given Language](3-2-Finding-Unusual-Words-in-Given-Language.ipynb)\u003cbr\u003e*Which words do not belong with the rest of the text?*|\n|[3.3 Creating a POS Tagger](3-3-Creating-a-POS-Tagger.ipynb)\u003cbr\u003e*Creating a Parts Of Speech tagger*|\n|[3.4 Parts of Speech and Meaning](3-4-Parts-of-Speech-and-Meaning.ipynb)\u003cbr\u003e*Exploring awesome features offered by WordNet*|\n|[4.1 Name Gender Identifier](4-1-Name-Gender-Identifier.ipynb)\u003cbr\u003e*Building a classifier that guesses the gender of a name*|\n|[4.2 Classifying News Documents into Categories](4-2-Classifying-News-Documents-into-Categories.ipynb)\u003cbr\u003e*Building a classifier that guesses the category of a news item*|\n|[5.1 Sentiment Analysis](5-1-Sentiment-Analysis.ipynb)\u003cbr\u003e*Is a movie review positive or negative?*|\n|[5.2 Sentiment Analysis with nltk.sentiment.SentimentAnalyzer and VADER tools](5-2-Sentiment-Analysis-with-nltk.sentiment.SentimentAnalyzer-and-VADER-tools.ipynb)\u003cbr\u003e*More sentiment analysis!*|\n|[6.1 Twitter Stream (and Cleaning Tweets)](6-1-Twitter-Stream-and-Cleaning-Tweets.ipynb)\u003cbr\u003e*Live-stream tweets from Twitter*|\n|[6.2 Twitter Search](6-2-Twitter-Search.ipynb)\u003cbr\u003e*Search through past tweets*|\n|[7.1 NLTK with the Greek Script](7-1-NLTK-with-the-Greek-Script.ipynb)\u003cbr\u003e*Using NLTK with foreign scripts*|\n|[8.1 The langdetect and langid Libraries](8-1-The-langdetect-and-langid-Libraries.ipynb)\u003cbr\u003e*Useful libraries for language identification*|\n|[8.2 Word2Vec (gensim)](8-2-Word2vec-(gensim).ipynb)\u003cbr\u003e*Google's Word2vec*|\n\n## Meta\n\nH. Z. Sababa — hb20007 — \u003chzsababa@outlook.com\u003e\n\nDistributed under the MIT license. See [`LICENSE`](LICENSE) for more information.\n","funding_links":[],"categories":["教學","Learning Resources\u003ca title=\"Suggest an addition to the list!\" href=\"https://forms.gle/aPA41GT5AmbxrTwq5\"\u003e\u003cimg alt=\"Click button to suggest an addition\" align=\"right\" src=\"https://raw.githubusercontent.com/AI4LAM/awesome-ai4lam/main/.graphics/suggest-addition-small.svg\"\u003e\u003c/a\u003e","📖 Natural Language Processing (NLP)"],"sub_categories":["閱讀內容","Natural language processing","Resources"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhb20007%2Fhands-on-nltk-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhb20007%2Fhands-on-nltk-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhb20007%2Fhands-on-nltk-tutorial/lists"}