Projects / Open Hidden Topic Markov Model

Open Hidden Topic Markov Model

OpenHTMM is an implementation specifically designed to facilitate research into Hidden Topic Markov Models methods. Hidden Topic Markov Models (HTMM) is a method of analyzing a docyment by imposing a temporal Markov structure on the document. In this way, it is able to account for shifting topics within a document. In so doing, it provides a topic segmentation within the document and also seems to effectively distinguish among multiple senses that the same word may have in different contexts within the same document.

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  •  20 Jan 2008 06:53

    No changes have been submitted for this release.


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