21 lines
1.2 KiB
Text
21 lines
1.2 KiB
Text
AI::Categorizer is a framework for automatic text categorization. It
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consists of a collection of Perl modules that implement common
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categorization tasks, and a set of defined relationships among those
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modules. The various details are flexible - for example, you can choose
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what categorization algorithm to use, what features (words or otherwise)
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of the documents should be used (or how to automatically choose these
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features), what format the documents are in, and so on.
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The basic process of using this module will typically involve obtaining a
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collection of pre-categorized documents, creating a "knowledge set"
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representation of those documents, training a categorizer on that
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knowledge set, and saving the trained categorizer for later use. There are
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several ways to carry out this process. The top-level AI::Categorizer
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module provides an umbrella class for high-level operations, or you may
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use the interfaces of the individual classes in the framework.
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A simple sample script that reads a training corpus, trains a categorizer,
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and tests the categorizer on a test corpus, is distributed as eg/demo.pl .
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WWW: http://search.cpan.org/dist/AI-Categorizer
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Author: Ken Williams <ken@mathforum.org>
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