Shinichi Goto
and 2 contributors

NAME

AI::Classifier::Japanese - the combination wrapper of Algorithm::NaiveBayes and Text::MeCab.

SYNOPSIS

    use AI::Classifier::Japanese;

    # Create new instance
    my $classifier = AI::Classifier::Japanese->new();

    # Add training text
    $classifier->add_training_text("たのしい.楽しい!", 'positive');
    $classifier->add_training_text("つらい.辛い!", 'negative');

    # Train
    $classifier->train;

    # Test
    my $result_ref = $classifier->predict("たのしい");
    print $result_ref->{'positive'}; # => Confidence value

DESCRIPTION

AI::Classifier::Japanese is a Japanese-text category classifier module using Naive Bayes and MeCab. This module is based on Algorithm::NaiveBayes. Only noun, verb and adjective are currently supported.

METHODS

my $classifier = AI::Classifier::Japanese->new();

Create new instance of AI::Classifier::Japanese.

$classifier->add_training_text($text, $category);

Add training text.

$classifier->train;

Train.

my $result_ref = $classifier->predict($text);

Test and returns a predicted result hash reference which has a confidence value for each category.

$classifier->save_state($params_path);

Save parameters.

$classifier->restore_state($params_path);

Restore parameters from a file.

my @labels = $classifier->labels;

Get category labels as an array reference.

LICENSE

Copyright (C) Shinichi Goto.

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

AUTHOR

Shinichi Goto <shingtgt @ GMAIL COM>