Sentiment analysis is used to analyse customer sentiment by the process of using natural language processing, text analysis, and statistics. A good customer survey understands the sentiment of their customers—what, how and why they’re saying it. Sentiment dataset can be found mainly in tweets, comments and reviews. Sentiment Analysis understands emotions with the help of software, and it is playing an inevitable role in today’s workplaces. Sentiment analysis for opinion mining has become an emerging area where more research and innovations are done. Sentiment or opinion analysis based on a domain is done using several algorithms. Machine learning is a concept among this area. In this, the main focus is on the supervised sentiment analysis or opinion mining algorithms. Supervised learning is a division coming under machine learning. Different methods of supervised learning and senti...