NAME

Data::Classifier::NaiveBayes

SYNOPSIS

my $classifier = Data::Classifier::NaiveBayes->new;

$classifier->train('token', "Some text to train with");
print $classifier->classify("Some text to find a match");

DESCRIPTION

This a Naive Bayes classifer. The code for this project is largely and shamelessly based off of the work done by alexandru's stuff-classifier originally written in Ruby.

https://github.com/alexandru/stuff-classifier

The code was ported over to Perl and Moose.

For more information please see the following:

http://bionicspirit.com/blog/2012/02/09/howto-build-naive-bayes-classifier.html

ATTRIBUTES

tokenizer

An access to Data::Classifier::NaiveBayes::Tokenizer.

tokenizer_class

A string to the tokenizer class name.

words($hash_ref)

A key value pair of word counts by categories

categories($hash_ref)

A key value pair of catogory counts.

METHODS

classify($phrase)

This will return the highest probable category associated with the phrase.

train($category, $phrase)

This will perform a word count and associate words with a category to later be classified.

SEE ALSO

Moose

AUTHOR

Logan Bell, <logie@cpan.org>

COPYRIGHT & LICENSE

Copyright 2012, Logan Bell

This program is free software; you can redistribute it and/or modify it under the same terms as Perl itself.

cpanm Data::Classifier::NaiveBayes

perl -MCPAN -e shell
install Data::Classifier::NaiveBayes