Working on a Topic Modeling project and I came across pyLDAvis for the first time and decided to give it a go. While my corpus is relatively large, it is taking far long than the time it took to preprocess and train my Topic Modeling models to create the visualization. I am unsure if I am doing something wrong, but are there any alternatives to this package? I saw some demos on websites and it just looks amazing.

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For reference, here is the code I am running (model, vectorized data, and vectorizer):

pyLDAvis.enable_notebook() viz = pyLDAvis.sklearn.prepare(lda_model, vectorized_data, count_vect) viz 

Any suggestions would be wonderful!