[Topic-models] asymmetric priors and IDF

Julien Velcin julien.velcin at univ-lyon2.fr
Wed Jun 15 09:57:44 EDT 2016

Dear topic modelers,

I'm wondering whether someone has tried to use an asymmetric prior in 
LDA for p(w/z), based on the inverse document frequency (IDF). We can 
postulate that this kind of prior will lower the impact of stop words 
and, therefore, results in topics of higher quality.

By the way, if this is a good idea, which packages allow to (easily) set 
up asymmetric priors? For instance, MALLET is based on symmetric priors.

Thank you,


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