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License: GNU General Public License v3.0
I am looking for the notebook about LDA with Scikit-learn
From https://www.mygreatlearning.com/blog/understanding-latent-dirichlet-allocation/
LDA in python:
There are few python packages which can be used for LDA based topic modeling. The popular packages are Genism and Scikit-learn. Amongst the two packages, Gensim is the top contender. ‘Topic Modeling with Gensim’ is a good reference to learn about using the Gensim package for performing LDA. ‘Introduction to topic modeling’ serves as a good reference for using Scikit-learn package to perform LDA
I am assuming you took the explanation for stemming and lemmatization from here and you didn't make any efforts to change some of the sentences.
https://nlp.stanford.edu/IR-book/html/htmledition/stemming-and-lemmatization-1.html
Please reference your findings next time for intellectual integrity, especially if you are publishing these.
I am receiving the following error regarding pyLDAvis and gensim
ModuleNotFoundError: No module named 'pyLDAvis.gensim'
Have not had any luck finding solution on Google, although it seems to have something to do with how updated version and name change. I tried import pyLDAvis.gensim_models as gensimvis
which also did not work.
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