Sentiment Prediction based on Movie Reviews using Machine Learning Techniques

Internet has become a rich source of user-generated his/her general opinion for products, services, social events, company strategies etc. This has created a need for emotion mining using sentiment analysis. There is a wealth of information and data available today because technology is the foundation of every business. As a result, a recommendation system is useful for managing this massive quantity of data and rapidly and in accordance with the user’ s tastes filtering out the relevant data. This paper describes a system for making movie recommendations. The major goal of this study has been to examine several machine learning techniques to classify a text into positive, neutral and negative emotion polarities. An algorithm used to train a Movie review data by support vector machine (SVM), Logistic regression (LR), XGB classifier models.