Implementing Naive Bayes for Sentiment Analysis in Python

The Naive Bayes Classifier is a well known machine learning classifier with applications in Natural Language Processing (NLP) and other areas. Despite its simplicity, it is able to achieve above average performance in different tasks like sentiment analysis. Today we will elaborate on the core principles of this model and then implement it in Python. In the end, we will see how well we do on a dataset of 2000 movie reviews. The math behind this model isn't particularly difficult to understand if you are familiar with some of the math notation.