Like we have said before, the purpose of topic models is to better understand our textual data - and visualizations are one of the best ways to understand and look at our data. There are multiple ways and techniques to visualize topic models - we will be focusing on the methods implemented and compatible with Gensim, but like we have done throughout the book, we will be providing links and documentation to the other popular topic modeling visualization tools.
One of the most popular topic modeling visualization libraries is LDAvis - an R library build largely on D3, it has been ported to Python as pyLDAvis and is just as nifty in Python and is very well integrated with Gensim as well. It is based on the original paper (LDAvis: A method for visualizing and interpreting topics [19]) by Carson Sievert and Kenneth E. Shirley.
The pyLDAvis library is agnostic...
