Okay so what should a gsoc student concentrate on for the project?
1.a standardized interface (e.g. MILTER, SMTP/LMTP transport)
2.Handler which delegates to external spam filtering packages
3.A totally new spam filter
4.An interface where users can manually tag "this mail is a spam" (which
remain
Thank you Terri and Stephen for your replies and explaining the whole
procedure of selection.
Coming back to the project,do we need to write patches for the SpamAssassin
or SpamBayes(which are integrated in Mailman) or do we need to start over
and make a whole new filter and start reinventing the w
I am working on the proposal.And how many slots are there for the filter
project?
On Tue, Apr 16, 2013 at 2:12 AM, Stephen J. Turnbull wrote:
> I'm copying to Mailman-Developers to ensure the other mentors are
> aware of your plans.
>
> Pratik Sarkar writes:
>
> > Ac
Can someone please give me a link of the existing mailman spam filter
techniques.?
Pratik
On Mon, Apr 15, 2013 at 4:11 AM, Richard Wackerbarth wrote:
> FWIW,
>
> I tend to support Stephen's view with respect to usefulness and interface
> strategy.
>
> Wacky
>
> On Apr 15, 2013, at 5:22 AM, Steph
What is this signature.asc file.?
Regards
Pratik
On Mon, Apr 15, 2013 at 3:18 AM, Paul Wise wrote:
> On Mon, 2013-04-15 at 02:19 -0700, Pratik Sarkar wrote:
>
> > Yes,thats why the language model concept will come in handy.
>
> Please reply to the list, your message was
On Mon, Apr 15, 2013 at 2:19 AM, Pratik Sarkar wrote:
> Yes,thats why the language model concept will come in handy.
> The classifier will be trained on the existing archives.
> For eg,in debian list,the classifier will be trained on a training set
> containing copyright law
Hi guys,
Is the anti-spam/abuse filter still being seriously considered
as a gsoc project this year?
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iner 2013 (IISC Bangalore) where our
team (BEing) came 6th. In the last few months, I have been working on the
sentiment analysis of tweets, based on Language Models of Lingpipe Toolkit
of Java.and LIBSVM to analyze the efficiency of classification.
Looking forward to hear back from all of you!
iner 2013 (IISC Bangalore) where our
team (BEing) came 6th. In the last few months, I have been working on the
sentiment analysis of tweets, based on Language Models of Lingpipe Toolkit
of Java.and LIBSVM to analyze the efficiency of classification.
Looking forward to hear back from all of you!
I am interested to work in the "Anti-spam/anti-abuse" in the Mailman
project for this year's Google summer of code.How can I contact the
respective mentors?
Regards,
Pratik
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