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Diffstat (limited to 'textproc/p5-AI-Categorizer/pkg-descr')
| -rw-r--r-- | textproc/p5-AI-Categorizer/pkg-descr | 26 |
1 files changed, 13 insertions, 13 deletions
diff --git a/textproc/p5-AI-Categorizer/pkg-descr b/textproc/p5-AI-Categorizer/pkg-descr index cd030cdcce11..4fe911e0d9bb 100644 --- a/textproc/p5-AI-Categorizer/pkg-descr +++ b/textproc/p5-AI-Categorizer/pkg-descr @@ -1,20 +1,20 @@ -AI::Categorizer is a framework for automatic text categorization. It -consists of a collection of Perl modules that implement common -categorization tasks, and a set of defined relationships among those -modules. The various details are flexible - for example, you can choose -what categorization algorithm to use, what features (words or otherwise) -of the documents should be used (or how to automatically choose these +AI::Categorizer is a framework for automatic text categorization. It +consists of a collection of Perl modules that implement common +categorization tasks, and a set of defined relationships among those +modules. The various details are flexible - for example, you can choose +what categorization algorithm to use, what features (words or otherwise) +of the documents should be used (or how to automatically choose these features), what format the documents are in, and so on. -The basic process of using this module will typically involve obtaining a -collection of pre-categorized documents, creating a "knowledge set" -representation of those documents, training a categorizer on that -knowledge set, and saving the trained categorizer for later use. There are -several ways to carry out this process. The top-level AI::Categorizer -module provides an umbrella class for high-level operations, or you may +The basic process of using this module will typically involve obtaining a +collection of pre-categorized documents, creating a "knowledge set" +representation of those documents, training a categorizer on that +knowledge set, and saving the trained categorizer for later use. There are +several ways to carry out this process. The top-level AI::Categorizer +module provides an umbrella class for high-level operations, or you may use the interfaces of the individual classes in the framework. -A simple sample script that reads a training corpus, trains a categorizer, +A simple sample script that reads a training corpus, trains a categorizer, and tests the categorizer on a test corpus, is distributed as eg/demo.pl . WWW: http://search.cpan.org/dist/AI-Categorizer/ |