Compare documents similarity using Python | NLP
[ad_1]
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/
reversepython.Subscribe(you)
stay.Connected(you)
Source
[ad_2]
I am getting an error: "name 'tfidf' is not defined" . please help!!
getting comparing result: [0.]
website is down not able to connect to the server, don't have access to blog of this video.
that music is very distracting. Good video though.
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.
Very good video. If you can add explanation then the video will have better impact.
which IDE are you using and which interpreter ? I am trying to do this on pycharm its not working
First video of the year, and first to comment Python is beautiful <3