Python: NLTK part 3/3 | Natural Language Tool Kit – word2vec, clustering, classifying




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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 word2vec, clustering and classifying in part-3 of this 3-part series. Get the Jupyter notebook code here, https://github.com/joeyajames/Python/tree/master/NLTK

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Comment List

  • Joe James
    December 16, 2020

    and how do you access those final cluster points to see to what text data they correspond, the problem with these numpy array courses on NLP is that they never show how to convert back numerical to text data, all you are left are numbers

  • Joe James
    December 16, 2020

    Thanks Joe, its a great video of part1,2,3. its a great help on understanding NLTK and BOW,W2V etc. Great Job

  • Joe James
    December 16, 2020

    Linking NLTK to Machine Learning, instead of random integers, would have been a more helpful lesson.

  • Joe James
    December 16, 2020

    image is too small.

  • Joe James
    December 16, 2020

    mv Python/ Joe-James. I was hardcoding word frequency and auditing libraries, but it solves handly and even more. Thanks, very useful.

  • Joe James
    December 16, 2020

    Thanks.How to create something like pytube?

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