"J. Zavrel" wrote:
> > > I'm looking for references on multiple-category classification
> > > of text.
>
> Just couldn't resist putting in a small shameless plug for my
> favorite machine learning flavor:
>
> This type of text classification can be done very easily using
> memory-based learning. If the nearest neighbors of a phrase to be
> classified are multiple-category, you will also be able to assign
> multiple-categories (i.e. a distribution of them). By controlling the
> number of nearest neighbors you can systematically increase the number
> of suggested categories. But of course this can be done using Naive
> Bayes as well...
>
> It's easy to try with our memory-based learning package TiMBL
> which can be obtained from http://ilk.kub.nl (follow the link to
> software).
Super! I think it may be close to what I need for the eMouth project
http://robustai.net/ai/word_of_emouth.htm
Too bad it's on a 'research only' license, eMouth is an
open source project.
-- Seth Russell http://RobustAi.net/Ai/SymKnow.htm http://RobustAi.net/Ai/Conjecture.htm
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