Source: qsf
Section: mail
Priority: optional
Maintainer: Nelson A. de Oliveira <naoliv@gmail.com>
Uploaders: Bartosz Fenski <fenio@debian.org>
Build-Depends: cdbs (>= 0.4.23-1.1), patchutils (>= 0.2.25), debhelper (>= 5), libgdbm-dev, libmysqlclient15-dev, libsqlite0-dev
Standards-Version: 3.6.2.1

Package: qsf
Architecture: any
Depends: ${shlibs:Depends}
Recommends: procmail | maildrop
Suggests: mail-transport-agent, mysql-server | sqlite, mutt, fetchmail
Description: small and fast Bayesian spam filter
 Quick Spam Filter (QSF) is an Open Source email classification filter,
 designed to be small, fast, and accurate, which works to classify incoming
 email as either spam or non-spam.
 To recognise spam, QSF strips the text out of the email (using MIME decoding
 and HTML stripping) and then splits it into tokens (words, word pairs, URLs,
 and so on). These tokens are then looked up in a database and analysed using
 the Bayesian technique to see whether the email should be classified as spam
 or not.
 The database is generated by a process of training - QSF is given two
 mailboxes, one containing known spam, and the other containing known
 non-spam, to train itself on. After training, if QSF misfiles any email,
 the message it got wrong can be fed back into the database, thus making QSF
 learn from its mistakes.
 For a more in-depth look at the way in which QSF tokenises and classifies
 messages, please see the Technical Details section of the manual.
 QSF is designed to be run by an MDA, such as procmail.
 .
 QSF's targets are speed, accuracy, and simplicity. So:
  * It is small and is written in C so it starts up quickly, unlike filters
  written in Perl.
  * It understands MIME and HTML, so it can intelligently deal with modern
  spam, unlike older Bayesian filters such as ifile.
  * It runs as an inline filter rather than as a daemon, so it is simple to
  install.
  * It is written to do only one job - decide whether an email is spam or not
  using the content of the message alone - so it is less complex than filters
  such as SpamAssassin. Less complexity means bugs and security problems are
  less likely.
  * As well as words and word pairs, QSF also spots special patterns in email
  such as runs of gibberish, HTML comments embedded in text, and other common
  spam giveaways, and its flexible tokeniser allows more patterns to be added
  as spammers change their tactics.
 .
  Homepage: http://www.ivarch.com/programs/qsf/
