Project details for Open HTMM

Logo Open HTMM 1.0

by amitg - December 24, 2008, 08:05:36 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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The Hidden Topic Markov Model We propose modeling the topics of words in the document as a Markov chain. Specifically, we assume that all words in the same sentence have the same topic, and successive sentences are more likely to have the same topics. Since the topics are hidden, this leads to using the well-known tools of Hidden Markov Models for learning and inference. We show that incorporating this dependency allows us to learn better topics and to disambiguate words that can belong to different topics. Quantitatively, we show that we obtain better perplexity in modeling documents with only a modest increase in learning and inference complexity.

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Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Linux
Data Formats: None
Tags: Lda, Latent Semantic Analysis, Topic Modeling, Graphical Models, Em
Archive: download here


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