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20 lines
838 B
Plaintext
20 lines
838 B
Plaintext
[ excerpt with modifications from developer's site ]
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The SpamBayes project is working on developing a Bayesian anti-spam
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filter.
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SpamBayes will attempt to classify incoming email messages as 'spam',
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'ham' (good, non-spam email) or 'unsure'. This means you can have
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spam or unsure messages automatically filed away in a different
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mail folder, where it won't interrupt your email reading.
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First, SpamBayes must be trained by each user to identify spam and
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ham. Essentially, you show SpamBayes a pile of email that you like
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(ham) and a pile you don't like (spam). SpamBayes will then analyze
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the piles for clues as to what makes the spam and ham different.
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For example; different words, differences in the mailer headers and
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content style. The system then uses these clues to examine new
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messages.
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WWW: http://spambayes.sourceforge.net/
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