[Topic-models] queries regarding working principle of lda
rohit007.nagori at gmail.com
Fri Aug 27 09:21:01 EDT 2010
I am deeply interested in understanding the working principle of LDA.
After reading the paper written by David M. Blei,Andrew Y. Ng,Michael I.
Jordan,*Latent Dirichlet Allocation,*Journal of Machine Learning Research 3
i got the following queries:
1.what is the significance of variational dirichlet parameter, Gamma. how it
is helpful in calculating the inference from the test set. i am unable to
understand the significance of name.gamma and name .likelihood files that
we are getting in inference.
2. how we can prioritize the words in a topic based on their appearance in
title, subtitle, or abstract of a document.
3.how we can find the documents containing the words in a topic
looking forward for your reply.
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