Did anyone try topic modelling with neural nets?

(Gene Sobolev) #1

I constantly see Latent Dirichlet Allocation (LDA) as a go to technique for topic modelling. It performs okay-ish, but ignores word context and (subjectively) seems outdated. Has anyone implemented something like an LSTM with LDA to retain sentence information? What other approaches with neural nets could be a good fit for topic modelling?

(Jesse St. Charles) #2

If you’re looking for inspiration check out Chris Moody’s work on lda2vec here.