When using the maxEnt (maximum Entropy) algorithm in NLTextClassifier, what is the underlying method? “Maximum entropy” is, if I remember, the metric for Quinlan’s ID3: is that what we're using here? If so, what features are we extracting?
My impression is that this is something like “use word2vec as input to ID3”, but is that really right? And where is this written? It’s not just idle curiousity: knowing what’s going on guides how we construct training cases, what’s useful to train, and what sort of errors we have to live with or route around.
