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.
