Folks,
I don't know if it's possible (I sure don't know how to do it myseld
;^) but perhaps one could take a known spam database and a known
non-spam database and use these to automatically build a list of
possible "spammish" words (sorta like the GA, but actually finding the
words and phrases, not the scores)?
What I'm thinking is something like this:
For each unique message in the database: count all unique words
excluding _common_word_list_ ("the","a","I",etc.); find the average
count for each word in spam and non-spam; subtract the average non-spam
count from the average spam count; and look REALLY HARD at the top
5-10%. Possibly look at the bottom 5-10% for possible negative weights
(things that indicate the message is legit).
One could do the same for 2-4 word phrases ("enlarge penis", "bigger
breasts", etc.). Once you've got this list and decided where the
"cut-off" is, then add them to the collection and run it through the GA
on a _SEPERATE_ spam collection and see how they score. This is
something that could be done periodically to keep the list of keywords
up-to-date with modern spam.
Just an idea.
Don
--
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Donald L. Greer, Jr [EMAIL PROTECTED]
System Administrator Voice: 512-300-0176
AustinTX http://www.AustinTX.COM/
All opinions are my own. Flame me directly.
"I don't necessarily believe software should be free...
but if you pay for it, it should work!" -- Me
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