[Spambayes] interacting with dbm

[Jesse Pelton]

As I understand it, the thing to do is to train on messages that contain
those words.  That is, if you receive a message that contains those
words and SpamBayes classifies it as spam or possible spam, tell
SpamBayes that it's actually ham.  Alternatively, you could probably
parse through the code to understand the database design and hack up
something to add some special tokens to the database.  Heck, you could
change the code itself to give special treatment to your whitelist
tokens.  The source is readily available.

I don't recommend any of the above, though.  If you somehow receive a
spam message with one of your whitelist words in it, the first approach
would require you to mislead SpamBayes about what you consider to be
spam, and the others seem very error-prone.

Lots of people have tried to find ways to make SpamBayes smarter.  As
near as I can tell, no one has found a way to make it consistently
perform better in a long time.  Does it matter that it's dumb if it
gives good results?

-----Original Message-----
From: spambayes-bounces at python.org [mailto:spambayes-bounces at python.org]
On Behalf Of Luca Benassi
Sent: Thursday, March 08, 2007 6:42 AM
To: spambayes at python.org
Subject: [Spambayes] interacting with dbm

I've serched a bit in doc, faq and old messagges but ... no luck :]

This is my question: can I populate the dbm with my list of *safe* 
(good) words? I'd like to, sort of, whitelist a group of words.

Thx in advice,
Luca

-- 
Dr. Luca Benassi
Laboratori Guglielmo Marconi
Via Porrettana 123, 40037 Pontecchio Marconi (BO) - ITALY
Phone:+39-0516781934 Fax:+39-051846479 e-mail: benassi at labs.it
Systems & Networks Division
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