The Role of Sentiment Analysis (SA) and Opinion Mining (OM): Levels, Techniques, Tools and Application Perspectives

Abstract

A fascinating new area of Artificial Intelligence (AI) research that combines psychology, machine learning, and natural language processing is known as sentiment analysis. Automatic methods for detecting polarity (positive, negative, and neutral) in texts have advanced significantly as a result of the vast number of opinions that have been expressed electronically on the internet, social networks, and blogs. Publicly visible individuals and organizations can no longer afford to ignore opinions made about them online. Firstly, we will go over the fundamentals of sentiment analysis in current chapter, including both knowledge-based and machine learning based approaches. The current chapter introduces the concept of sentiment analysis followed by a discussion on the threads of literature work done in this field. Afterwards, it discusses the levels of sentiment analysis followed by providing an overview on Opinion Mining (OM). Subsequently, we have discussed the various applications of sentiment analysis and opinion mining. Then we have detailed the various tools used for sentiment analysis. Finally, we have concluded our chapter.