[POSTED TO rec.photo.digital - REPLY ON USENET PLEASE]
In <4cbYb.33047$> on Mon, 16 Feb
2004 22:09:04 GMT, "Steve Young" <> wrote:
>> "Jukka-Pekka Suominen" <> wrote
>> The easiest way to get rid of him/her/it is to filter for "Organization:
>> ", which will catch all of his/her/its, erm...
>> posts.
>
>you would prolly need a filter like Nfilter, or eNfilter
Another option that is probably more effective in general is to use a naive
Bayesian classifier. The one I use on my email, POPFile, is over 99.7%
accrate, and there's an NNTP (Usenet news) proxy module for POPFile -- see
<http://sourceforge.net/project/shownotes.php?release_id=195560>.
--
Best regards,
John Navas
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