Topic Modelling - I have used NMF and LDA, what is next?

Question

I have used NMF and LDA for topic modelling in Python, with what I would call good results with NMF, and poor results with LDA.

My data is highly domain specific, with a lot of unique/specific vocabulary.

I am trying to improve my NMF output by trying some other methods.

Can anyone recommend what I should research/learn yet?

thanks

Answer 1

May be PCA? Table 2 and Table 4 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861298/