Sentiment Analysis: Quantitative Evaluation of Machine Learning Algorithms

Sentiment analysis is a computer method for analyzing the opinions, feelings, and thoughts expressed in online comments and reviews. Sentiment analysis is a topic that has recently gained attention in the research areas of NLP and text analysis. Understanding public sentiment is greatly aided by doing sentiment analysis on this user-generated data. Two methods are used to extract emotions from text: the knowledge base approach and the machine learning methods. This research work has developed a machine learning model to find the best technique for performing sentiment analysis. For this purpose, various machine learning classifiers were compared by including reviews of movies. Accuracy and fl metrics were also usedfor the evaluation of algorithms.