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Projeto Descrição

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.

System Requirements

System requirement is not defined
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2008-01-20 07:53
0.1

Tags: Initial freshmeat announcement

Project Resources