For the binarized naive bayes classifier :

What is P("great" | pos)?

Train two models, multinomial naive Bayes and binarized naive Bayes, both with add-1 smoothing, on the following document counts for key sentiment words, with positive or negative class assigned as noted. doc "good" "poor" "great" (class) dl. 3 0 3 pos d2.0 1 2 pos d3.1 3 0 neg d4.1 5 2 neg d5.0 2 0 neg Use both naive Bayes models to assign a class (pos or neg) to this sentence: A good, good plot and great characters, but poor acting