So really the crux of this task is to correctly reforward the email as
a *.txt attachment and
correctly identify said attachment before passing it to sa-learn.
The first part being the toughest. as it's the kind of thing you want
to automate or at least
have done for you via a keystroke. So thi
On Wed, 24 Sep 2003, Matt Kettler wrote:
> The message must be _exactly_ the same as it originally was, headers and
> all. Even very subtle changes can cause the bayes engine to learn things
> you might not expect. You want it to learn about ham and spam, not about
> forwarded message formats.
At 10:30 AM 9/24/03 -0400, Jon Fraley wrote:
I just want to clarify this fact. I have seen contradictory statements
posted. I am going to have users forward received spam and ham to
respective accounts.
Don't, unless they can forward the entire original message, complete with
original headers, a
I just want to clarify this fact. I have seen contradictory statements
posted. I am going to have users forward received spam and ham to
respective accounts. Do I need to separate the original message from
the forwarded message? I can understand not having to separate a
message flagged as spam
On Thu, 2003-02-13 at 11:51, Jason Staudenmayer wrote:
> That's the same setup I have now. Works great the old spam I get come from
> my old mail
> server. Is it best the save Outlook messages to my home dir and train SA
> there?
I guess it depends on your schedule... I don't do ANY local delivery
I have RH 8 with qmail and SA forwarding to Exchange is there any way or
what's the best
way to save emails to the linux box and have SA learn them? Do the email
need to be in a
special format? Can outlook save the message correctly for this?
TIA
Jason
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