How to get feature Importance in naive bayes?

Question

I have a dataset of reviews which has a class label of positive/negative. I am applying Naive Bayes to that reviews dataset. Firstly, I am converting into Bag of words. Here

Answer 1

Try this:

pred_proba = NB_optimal.predict_proba(X_test)
words = np.take(count_vect.get_feature_names(), pred_proba.argmax(axis=1))