Compare documents similarity using Python | NLP




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Hey Devs! In this post we are going to build a web application which will compare the similarity between two documents. We will learn the very basics of natural language processing (NLP) which is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language.

Source Code: https://github.com/raszidzie/Resemblance

Blog Post: https://reversepython.net/lab/compare-documents-similarity-using-python-nlp/

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Comment List

  • Reverse Python
    January 16, 2021

    I am getting an error: "name 'tfidf' is not defined" . please help!!

    Reply
  • Reverse Python
    January 16, 2021

    getting comparing result: [0.]

    Reply
  • Reverse Python
    January 16, 2021

    website is down not able to connect to the server, don't have access to blog of this video.

    Reply
  • Reverse Python
    January 16, 2021

    that music is very distracting. Good video though.

    Reply
  • Reverse Python
    January 16, 2021

    Wow nice work 👏,
    But tfidf is work well when the same number of words occurred in the 2 documents,
    How can I use word2vec model like, GloVe for document similarity finding.

    Reply
  • Reverse Python
    January 16, 2021

    Very good video. If you can add explanation then the video will have better impact.

    Reply
  • Reverse Python
    January 16, 2021

    which IDE are you using and which interpreter ? I am trying to do this on pycharm its not working

    Reply
  • Reverse Python
    January 16, 2021

    First video of the year, and first to comment Python is beautiful <3

    Reply

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