Mail::Classifier::GrahamSpam Mail::Classifier::GrahamSpam is a spam classification based on Paul Graham's algorithm.
Download

Mail::Classifier::GrahamSpam Ranking & Summary

Mail::Classifier::GrahamSpam Tags

Perl module mail spam classification Mail Classifier spam classification

Mail::Classifier::GrahamSpam Description

Mail::Classifier::GrahamSpam is a spam classification based on Paul Graham's algorithm. Mail::Classifier::GrahamSpam is a spam classification tool based on Paul Graham's algorithm.SYNOPSIS use Mail::Classifier::GrahamSpam; $bb = Mail::Classifier::GrahamSpam->new(); $bb->bias( 'NOTSPAM', 2); $bb->train( { 'spam.mbox' => 'SPAM', 'notspam.mbox' => 'NOTSPAM' } ); my ($cat, $prob) = $bb->score( $msg );ABSTRACTMail::Classifier::GrahamSpam - spam classification based on Paul Graham's algorithmThis class is a specific implementation of a Mail::Classifier that uses Naive Bayesian methods for associating messages with a category. The specific implemenation is based on the article "A Plan for Spam" by Paul Graham (thus the name).For classic Graham, make sure to set bias on non-spam to 2.While this class was designed to classify spam and non-spam, there is no underlying limitation that only two categories be used and thus it may be used for more general purposes as well. (And should perhaps be renamed in a subsequent release.) For example, we might call $bb->train ({ 'perl.mbox' => 'PERL', 'java.mbox' => 'JAVA', 'php.mbox' => 'PHP' });in order to train the classifier to identify other categories of mail.Requirements:· Perl

Mail::Classifier::GrahamSpam Related Software