Posts Tagged ‘Bayesian’

SpamSieve 2.4.1

Thursday, January 26th, 2006

spamsieveSpamSieve (additional Bayesian spam-protection) joins the list of apps recompiled as universal binaries.

But there’s more. SpamSieve 2.4.1 includes various tweaks to its tokenizer and HTML parser that improve accuracy. It filters messages containing attachments better.

A setting has been added for Mail.app users to control whether messages trained as spam are marked as read and/or left on the server.

Its notification features are smarter and it works better with Pathfinder 4.

It also contains various bug features, a new Spanish localisation and improved documentation.

SpamSieve is shareware (USD 25) and is available from the developer?¢‚Ǩ‚Ñ¢s web site.

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Mail.app’s Junk Filter is not like the others

Saturday, December 24th, 2005

junkmailMail.app’s Junk filter is not a Bayesian one like the spam catching technology in SpamSieve and many other spam-fighting apps. Instead it uses a technique called Latent Semantic Analysis (LSA).

I’ve blogged two excellent descriptions of the way this filter works in Apple Mail before, but today came across a third explanation with the imposing title, “Bayesian Nets, Latent Semantics, Despamming and other speculations”.

The post describes the differences between Bayesian and LSA and a whole lot more. It’s over two years old, but a good read and packed full of links to other resources on spam.

[via Paul's Time Sink.]

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