For topic modelling I use the method called nmf(Non-negative matrix factorisation). Now, I want to visualise it.So, can someone tell me visualisation techniques for topic modelling.
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1 Answers
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Check LDAvis if you're using R; pyLDAvis if Python. It was developed for LDA. But I guess it also works for NMF, by treating one matrix as topic_word_matrix and the other as topic proportion in each document.
http://nbviewer.jupyter.org/github/bmabey/pyLDAvis/blob/master/notebooks/pyLDAvis_overview.ipynb
