dbacl

'dbacl' is a digramic Bayesian text classifier. Given some text, it calculates the posterior probabilities that the input resembles one of any number of previously learned document collections. It can be used to sort incoming email into arbitrary categories such as spam, work, and play, or simply to distinguish an English text from a French text. It fully supports international character sets, and uses sophisticated statistical models based on the Maximum Entropy Principle.

Last updated 7 Jun, 2005


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License(s) :

GPLv2orlater

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Related Projects

Flex

Subprograms

bayesol, mailcross

Versions

1.11

1.11 stable released 2005-07-06

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User manpage available in HTML format from http://dbacl.sourceforge.net/man.html; User tutorial available in HTML format from http://dbacl.sourceforge.net/tutorial.html

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Please send comments on these web pages to bug-directory@fsf.org, send other questions to info@fsf.org.

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Permission is granted to copy, distribute, and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts.