Multinomial Naїve Bayes’ For Documents Classification and Natural Language Processing (NLP)

Multinomial naïve Bayes’ implementation in Python 3.8, NumPy and NLTK

Introduction

Naïve Bayes — a probabilistic approach for constructing the data classification models. It’s formulated as several methods, widely used as an alternative to the distance-based K-Means clustering and decision tree forests, and deals with probability as the “likelihood” that data belongs to a specific class. The Gaussian and Multinomial models of the naïve Bayes exist.

The multinomial model provides an ability to classify data, …

bayes classification classification-algorithms data science language machine learning multinomial naive-bayes-classifier natural natural language natural language processing nlp processing