Robert> At the risk of bloating this awesome piece of software, I submit
Robert> that Grammar and Spell checking (at least localized English)
Robert> would be a good way to easily identify illegitimate email.
Any ideas for how grammar checking might be done? Note that the current
architecture treats each message as a set of tokens. No token ordering
exists at the scoring phase.
Robert> A two phased approach would leave the existing code base
Robert> untouched, and a second (optional) feature added on. Perhaps
Robert> even leveraging the existing host (Outlook) for the bulk of the
Robert> work, and just look at the total number of errors. This idea
Robert> comes from a quick look at what consistently ends up in the Junk
Robert> Suspects folder.
Note that Outlook isn't the only SpamBayes platform. Unless multiple
platform-dependent plugins were developed, the solution would have to be
platform-independent.
Skip
_______________________________________________
[email protected]
http://mail.python.org/mailman/listinfo/spambayes
Check the FAQ before asking: http://spambayes.sf.net/faq.html
