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Opti · 2004-11-09, 09:28 AM

This one finally got my spam problem to a manageable point..

http://spambayes.sourceforge.net/

SpamBayes will attempt to classify incoming email messages as 'spam', 'ham' (good, non-spam email) or 'unsure'.

First you show SpamBayes a pile of email that you like (ham) and a pile you don't like (spam). SpamBayes will then analyze the piles for clues as to what makes the spam and ham different. For example; different words, differences in the mailer headers and content style. The system then uses these clues to examine new messages.

You dont set up filter words... you simply show it which emails it classified incorrectly to train it... it took about 1 month of doing this until I was getting zero good emails incorrectly marked as spam... which was my number one want in a spam filter.

2004-11-09, 09:28 AM	#21
Opti I Didn't Do It Join Date: Aug 2003 Location: au Posts: 795	This one finally got my spam problem to a manageable point.. http://spambayes.sourceforge.net/ SpamBayes will attempt to classify incoming email messages as 'spam', 'ham' (good, non-spam email) or 'unsure'. First you show SpamBayes a pile of email that you like (ham) and a pile you don't like (spam). SpamBayes will then analyze the piles for clues as to what makes the spam and ham different. For example; different words, differences in the mailer headers and content style. The system then uses these clues to examine new messages. You dont set up filter words... you simply show it which emails it classified incorrectly to train it... it took about 1 month of doing this until I was getting zero good emails incorrectly marked as spam... which was my number one want in a spam filter.