While learning about NLP, specifically text classification, I followed Simplilearn's tutorial regarding Text Classification Using Naive Bayes.
Naive Bayes are mostly used in natural language processing (NLP) problems. Naive Bayes predicts the tag of a text. They calculate the probability of each tag for a given text and then output the tag with the highest one.
Text classifiers can be used to organize, structure, and categorize pretty much any kind of text – from documents, medical studies and files, and all over the web.