Machine Learning Techniques for Sentiment Analysis of movie reviews

In this smart world, every person has a chance to express their opinion in a digital way. Earlier, if a business executive wants to get feedback from the customer, he would have to find a means to know it from the customer directly. But with the explosion of social media, anyone today can express their views about anything in an unconstrained and freeway. In this paper, Naive Bayes and KNN models are developed to find the sentiments of people writing reviews with a goal of understanding the opinions of the public on a movies. Also, the emotions of people associated with different comments and their corresponding percentages have been calculated. The performance and accuracy of Naïve Bayes model is significantly good. .