./mail/bogofilter, Bayesian spam filter written in C

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Branch: pkgsrc-2010Q1, Version: 1.1.7, Package name: bogofilter-1.1.7, Maintainer: pkgsrc-users

Bogofilter is a mail filter that classifies mail as spam or ham
(non-spam) by a statistical analysis of the message's header and
content (body). It is able to learn from the user's classifications
and corrections.

The statistical technique is known as the Bayesian technique and
its use for spam was first described by Paul Graham in his article
A Plan For Spam. Gary Robinson, in his weblog Rants, suggests some
refinements for improved discrimination between spam and ham.
Bogofilter's primary algorithm uses the f(w) parameter and the
Fisher inverse chi-square technique that he describes.

Bogofilter is run by an MDA script to classify an incoming message
as spam or ham (using wordlists stored by BerkeleyDB). Bogofilter
provides processing for plain text and HTML. It supports multi-part
mime message with decoding of base64, quoted-printable, and
uuencoded text and ignores attachments, such as images.


Required to run:
[lang/perl5]


Package options: db4

Master sites:

SHA1: b34e2bf224a2139e080960fb44cf2abe1c35c9b3
RMD160: 799a375d54441c8fd6355921c468f33f7e65a46f
Filesize: 820.007 KB

Version history: (Expand)