Spam Filtering using Text Categorization

Question

I am trying to build spam filtering application using text categorization. From where should I start learning the algorithms? Which algorithm should I implement first? Anyone can suggest any good material?

Answer 1

The easiest one to start with is Naive Bayes.

http://nlp.stanford.edu/IR-book/html/htmledition/naive-bayes-text-classification-1.html

Answer 2

I found this article [PDF] that gives quite a good overview of available machine learning techniques and their performance for spam filtering.

Here you can find more information on the subject as well as training data!

I must say that there are volumes of material online, simple google search for "spam filtering machine learning techniques" is enough.