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.