bsfilter is a spam filter using Bayesian(statistical) algorithm.
- a filter which distinguishes spam and non-spam mail
- support mails written in English and Japanese language
- written in Ruby
- support 3 methods for access
-- traditional Unix-style filter. study and judge local files or pipe
-- IMAP. study and judge mails in an IMAP server. IMAP over SSL supported
-- POP proxy. run between POP server and MUA. POP over SSL supported
- distributed under GPL
Quick Spam Filter (qsf) is a small, fast spam filter that works by learning
to recognise the words that are more likely to appear in spam than non-spam.
It is intended to be used in a procmail recipe to mark email as being
possible spam.
A filter, makes text somewhat more jerky.
SpamBayes is a tool used to segregate unwanted mail (spam) from the mail you
want (ham). Before SpamBayes can be your spam filter of choice you need to
train it on representative samples of email you receive. After it's been
trained, you use SpamBayes to classify new mail according to its spamminess
and hamminess qualities.
SpamAssassin is a mail filter which attempts to identify spam using text
analysis and several internet-based realtime blacklists.
Using its rule base, it uses a wide range of heuristic tests on mail
headers and body text to identify "spam", also known as unsolicited
commercial email.
Once identified, the mail can then be optionally tagged as spam for later
filtering using the user's own mail user-agent application.
Additional drop-in rule sets are available at
http://wiki.apache.org/spamassassin/CustomRulesets
L2A is a simple filter to remove most LaTeX commands from marked-up
documents, leaving only the body of text.
Filter::Simple - Simplified source filtering
Source filtering is an immensely powerful feature of recent versions of Perl.
It allows one to extend the language itself (e.g. the Switch module), to
simplify the language (e.g. Language::Pythonesque), or to completely recast the
language (e.g. Lingua::Romana::Perligata). Effec- tively, it allows one to use
the full power of Perl as its own, recur- sively applied, macro language.
Bayespam is a qmail spam filter written in Perl, using Bayesian
classification to filter out unsolicited commercial email. It is
written with ease of installation and use in mind, and it is
encouraged that you give it a try. Bayespam actually learns as you
give it more spam to process, so it should become better and better
the longer you use it.
Bayespam is based on a paper written by Paul Graham called A Plan
for Spam. In this paper, Mr. Graham talked about a spam filter he
is working on that used Bayesian classification to determine if a
particular piece of email is spam or not.
A recursive directory scanner and filter.
XML::Atom::Filter supports creation of command line tools to filter and
process Atom feeds.