Multinomial Naive Bayes Explained
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SOLVED: 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:d1. 3 0 3 posd2. 0 1 2 posd3. 1 3 0 negd4. 1 5 2 negd5. 0 2 0 negUse both naive Bayes models to assign a class (pos or neg) to this sentence: A good, good plot and great characters, but poor acting. Do the two models agree or disagree?
SOLVED: Train two models, multinomial naive Bayes and binar…
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