The visualization with pyLDAvis uses different numbers for topics than gensim when I run the notebook, which makes it harder to interpret the results. Adding "sort_topics=False" in the following line solves it.
vis = gensimvis.prepare(models[4], corpus_matrix, corpus_dict, sort_topics=False)
The visualization with pyLDAvis uses different numbers for topics than gensim when I run the notebook, which makes it harder to interpret the results. Adding "sort_topics=False" in the following line solves it.
`vis = gensimvis.prepare(models[4], corpus_matrix, corpus_dict, sort_topics=False)`