About:
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.

Author:
OpenHTTM development team <amitg |at| cs |dot| huji |dot| ac |dot| il> [contact developer]

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Homepage:
http://code.google.com/p/openhtmm/
Tar/GZ:
http://code.google.com/p/openhtmm/downloads/list
Bug tracker:
http://code.google.com/p/openhtmm/issues/list

Trove categories: [change]

[Development Status]		3 - Alpha
[Environment]		Other Environment
[Intended Audience]		Developers
[License]		The Apache License 2.0
[Operating System]		POSIX, Unix
[Programming Language]		C++
[Topic]		Scientific/Engineering, Software Development :: Libraries, Text Processing

Dependencies: [change]
No dependencies filed

 Branches

Branch	Version	Last release	License	URLs
Default	0.1	20-Jan-2008	The Apache License 2.0