[Topic-models] asymmetric priors and IDF
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.
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