I have a question for the OpenNLP project team. I was wondering if there is a Naive Bayesian classifier implementation in OpenNLP that I've not come across, or if there are plans to implement one.
If it is the latter, I should love to contribute an implementation. There is an ME classifier already available in OpenNLP, of course, but I felt that there was an unmet need for a Naive Bayesian (NB) classifier implementation to be offered as well. An NB classifier could be bootstrapped up with partially labelled training data as explained in the Nigam, McCallum, et al paper of 2000 "Text Classification from Labeled and Unlabeled Documents using EM". So, if there isn't an NB code base out there already, I'd be happy to contribute a very solid implementation that we've used in production for a good 5 years. I'd have to adapt it to load the same training data format as the ME classifier, but I guess that shouldn't be very difficult to do. I was wondering if there was some interest in adding an NB implementation and I'd love to know who could I coordinate with if there is? Cohan Sujay Carlos CEO, Aiaioo Labs, India +91-77605-80015 +91-80-4125-0730
