Recently, I have been doing a dynamic topic modeling project using NMF.
I thought the corpus of different time windows was loaded into the model by the "update" command. However, I found that some projects just loaded the whole corpus into the model without splitting them into various slices. I do not know how such a model can differentiate different time windows.
Therefore, I would like to know how I can train a dynamic topic model based on NMF with gensim.
Thanks for any discussion and answers.
YANG