Difference between revisions of "Dbacl"
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Bayesian text classifier
'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.
DocumentationUser 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
released on 14 May 2013
28 August 2003
Leaders and contributors
Resources and communication
|Developer||VCS Repository Webview||http://sourceforge.net/cvs/?group_id=70464|
This entry (in part or in whole) was last reviewed on 8 February 2018.
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