Bug#267946: RFP: spambayes -- Bayesian spam classification system with Python

[Jari Aalto <jari.aalto@poboxes.com>]

Package: wnpp
Severity: wishlist

* Package name    : spambayes
  Version         : 1.0
  Upstream Author : Tim Stone <timstone4@users.sourceforge.net>
* URL             : http://www.example.org/
* License         : Python Software foundation
  Description     : Bayesian spam classification system with Python

The SpamBayes project is working on developing a Bayesian anti-spam
filter, initially based on the work of Paul Graham. The major
difference between this and other, similar projects is the emphasis on
testing newer approaches to scoring messages. While most anti-spam
projects are still working with the original graham algorithm, we
found that a number of alternate methods yielded a more useful
response. This is documented on the background page.

SpamBayes is not a single application. The core code is a message
classifier, however there are several applications available as part
of the SpamBayes project which use the classifier in specific
contexts. For the most part, the current crop of applications all
operate on the client side of things, however, a number of people have
experimented with using SpamBayes on mail servers to classify incoming
mail for multiple users. The table below outlines the main
applications which are part of the SpamBayes distribution.

-- System Information:
Debian Release: 3.1
Architecture: i386 (i686)
Kernel: Linux 2.4.26.20040601
Locale: LANG=C, LC_CTYPE=C (ignored: LC_ALL set to en_US)