Multinomial Naive Bayes

Multimodal naive bayes is a specialized version of naive bayes designed to handle text documents using word counts as it's underlying method of calculating probability. Before diving into what multinomial naive bayes is, it's vital to understand the basics.

Basics

Assumption: Each feature has these properties

For instance, a feature could be a word

Are independent
Are equal

Bayes Theorem: P(A|B) = (P(B|A) * P(A)) / P(B)

This is a probabilistic equation that infers a probability from previous ...