NAME

       Mail::SpamAssassin::Plugin::Bayes - determine spammishness using a Bayesian classifier

DESCRIPTION

       This is a Bayesian-style probabilistic classifier, using an algorithm based on the one
       detailed in Paul Graham's A Plan For Spam paper at:

         http://www.paulgraham.com/spam.html

       It also incorporates some other aspects taken from Graham Robinson's webpage on the
       subject at:

         http://radio.weblogs.com/0101454/stories/2002/09/16/spamDetection.html

       And the chi-square probability combiner as described here:

         http://www.linuxjournal.com/print.php?sid=6467

       The results are incorporated into SpamAssassin as the BAYES_* rules.

ADMINISTRATOR SETTINGS

       bayes_stopword_languages lang             (default: en)
           Languages enabled in bayes stopwords processing, every language have a default
           stopwords regexp, tokens matching this regular expression will not be considered in
           bayes processing.

           Custom regular expressions for additional languages can be defined in "local.cf".

           Custom regular expressions can be specified by using the "bayes_stopword_lang" keyword
           like in the following example:

            bayes_stopword_languages en se
            bayes_stopword_en (?:you|me)
            bayes_stopword_se (?:du|mig)

           Regexps are case-insensitive will be anchored automatically at beginning and end.

           To disable stopwords usage, specify "bayes_stopword_languages disable".

           Only one bayes_stopword_languages or bayes_stopword_xx configuration line can be used.
           New configuration line will override the old one, for example the ones from
           SpamAssassin default ruleset (60_bayes_stopwords.cf).

       bayes_max_token_length (default: 15)
           Configure the maximum number of character a token could contain