Implementing Bag-of-Words Naive-Bayes classifier in NLTK

Question

I basically have the same question as this guy.. The example in the NLTK book for the Naive Bayes classifier considers only whether a word occurs in a document as a feature.

Answer 1

The features in the NLTK bayes classifier are "nominal", not numeric. This means they can take a finite number of discrete values (labels), but they can't be treated as frequencies.

So with the Bayes classifier, you cannot directly use word frequency as a feature-- you could do something like use the 50 more frequent words from each text as your feature set, but that's quite a different thing

But maybe there are other classifiers in the NLTK that depend on frequency. I wouldn't know, but have you looked? I'd say it's worth checking out.