From: Giles Bowkett <gilesb@...>
Date: 2006-11-03T03:36:26+09:00
Subject: Re: bayesian classifiers in ruby?

> As long as you analyze natural language, both seem suited, although with
> different degrees of complexity under the hood, both have a very simple
> interface: define a category and train it. Then a guess interface to
> evaluate candidates.

I'm hoping to develop yet another spam filter. in that sense I can
only say I'm sort of analyzing natural language. Not all of it is
natural language, some of it is code. In the Paul Graham thing where
he came up with this idea, if I remember right, he said that a font
tag with the color red turned out to be the single most reliable
indicator of spam. Obviously in HTML e-mail there are going to be
similar trends. However if the tokenizer is the only problem that may
be something I can change without too much stress.

-- 
Giles Bowkett
http://www.gilesgoatboy.org