[Topic-models] asymmetric priors and IDF

Shibamouli Lahiri shibamoulilahiri at gmail.com
Wed Jun 15 12:10:02 EDT 2016

I'm not sure if this answers your question, but could you not simply
re-write the uniform prior with a non-uniform prior yourself?

For example, in the version of Mallet that I have, you'll need to change
the source of  src/cc/mallet/topics/LDA.java.  And then write a simple
class that gets the IDF and feeds it into LDA.java.


On Wed, Jun 15, 2016 at 9:57 AM, Julien Velcin <julien.velcin at univ-lyon2.fr>

> 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,
> Julien
> _______________________________________________
> Topic-models mailing list
> Topic-models at lists.cs.princeton.edu
> https://lists.cs.princeton.edu/mailman/listinfo/topic-models
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.cs.princeton.edu/pipermail/topic-models/attachments/20160615/f0315733/attachment.html>

More information about the Topic-models mailing list