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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. Author: Laird A. Breyer <laird@lbreyer.com> WWW: http://dbacl.sourceforge.net/ PR: 58733 Submitted by: Cheng-Lung Sung <clsung@dragon2.net>
12 lines
565 B
Plaintext
12 lines
565 B
Plaintext
dbacl is a digramic Bayesian text classifier. Given some text,
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it calculates the posterior probabilities that the input resembles
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one of any number of previously learned document collections.
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It can be used to sort incoming email into arbitrary categories
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such as spam, work, and play, or simply to distinguish an English text
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from a French text. It fully supports international character sets,
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and uses sophisticated statistical models based on the
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Maximum Entropy Principle.
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Author: Laird A. Breyer <laird@lbreyer.com>
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WWW: http://dbacl.sourceforge.net/
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