4
$\begingroup$

I am working on a text classification problem, and plan on using Naive Bayes based model.

In which cases should I consider using Multinomial Naive Bayes?

$\endgroup$
1
$\begingroup$

For Text classification Multinomial Naive bayes is a good choice to start with.

We can start with MNB, when

1. There is no dependence between the predictors
2. Good if class is not unblanced 

(Here is an approach to handle unbalanced data with MNB )

I would start with bag of words and then TFIDF vectors to check the model performance before moving further.

| improve this answer | |
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.