are basically a set of features for that particular class. And why do we need “counts” ? because we need a numeric representation of the categorical word features as the Naive Bayes Model/Algorithm requires numeric features to find out the proba…rds (i.e vocabulary/vocab) of each class are basically a set of features for that particular class. And why do we need “counts” ? because we need a numeric representation of the categorical word features as the Naive Bayes Model/Algorithm requires numeric features to find out the probabilistic scores!
One of the best characteristics of the Naive Bayes Model is that you can improve it’s accuracy by simply updating it with new vocabulary words instead of always retraining it. You will just need to add words to the vocabulary and update the words counts accordingly. That’s it!