Rails - Apr 2005 - Classifier 1.2 with Bayesian and NEW LSI classification

You may remember that I announced the Bayesian classifier a couple of
weeks ago. With the help of David Fayram, we added LSI classification
so that you can now do both:

b = Classisifer::Bayes.new
lsi = Classifier::LSI.new

LSI is Latent Semantic Indexer, which can search, classify and cluster
data based on underlying semantic relations. It uses more resources
than the Bayesian classifier and even requires an external library, but
can still be Marshalled for Madeline or DRB''s sake. For more
information on the algorithms used, please consult
http://en.wikipedia.org/wiki/Latent_Semantic_Indexing

One really cool part about LSI is that it can give you automatic 
summarization features (see the subversion trunk for previews of this). 
This could be a big deal for anybody who wants to do RSS with Rails but 
is worried about bandwidth consumption because it is a programatic way 
to automatically summarize the most important parts of your articles.

I also added an #untrain method to reverse the effects of training the
Bayesian classifier. LSI can also untrain itself. To upgrade, try:

gem update classifier

Or see this site:

http://rubyforge.org/projects/classifier/

Again, all feedback is appreciated.

-Lucas Carlson
http://tech.rufy.com/