Hi all,
since it is hard for a person to teach the spamassassin which mails are spam
and which are not for all users, i was thinking about doing the following:
Create a mail account let's say : [EMAIL PROTECTED]
Tell trusted users to forward the mails they identify as spam to "[EMAIL
PROTECTED]" .
Run a cron job that launch "sa-learn" on the mailbox "[EMAIL PROTECTED]",
making the spamassassin identify them as spam.
Since i don't really know how Bayesian filter works internally; i have some
concerns:
- First when we forward a messagge there is a character (usually ">") added at
each line; So should i remove this character before applying the sa-learn
command ?
- second when we forward an email there's an added header the one from the user
we trust, should i remove also this added header before applying sa-learn? Does
leaving this header when applying sa-learn could make any misclassification of
the trusted users ?
PS: I have autolearn on, so this procedure i am trying to implement will
increase the probability of identifiying words in spam mails !
Thanks in advance for any help.
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