Textual Analysis of Spam

I'm currently writing a spam-filter and bouncing messages based on header information and keyword counts. This gets about 80% of the spam, but also gives about 1% false positives. Has anyone done any more sophisticated analysis of spam text than this? I can't find anything on the Web. Mark