Python: NLTK part 2/3 | Natural Language Tool Kit – stemmer, tokenizer, POS tagger




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Tutorial on Python natural language tool kit. How to use NLTK to analyze words, text and documents. Learn to use NLTK stemming, word and sentence tokenizers and parts of speech (POS) tagging in part-2 of this 3-part series. Get the Jupyter notebook code here, https://github.com/joeyajames/Python/tree/master/NLTK

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One Comment

  • Joe James
    January 19, 2021

    'does' stems to 'doe', because 'does' are multiple female dear. 😉

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