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

perl v5.38.2                                       2024-04-12             Mail::SpamAssassin::Plugin::Bayes(3pm)