Machine Learning and Generative AI Techniques for Sentiment Analysis with Applications

This chapter presents a thorough investigation and examination of machine learning and generative artificial intelligence (AI)-based sentiment analysis approaches in the context of social media. As more and more companies use social media platforms for customer involvement and service delivery, it is critical to comprehend the feelings and viewpoints that people are expressing. Although sentiment analysis is a machine learning technique that is skilled in identifying positive and negative sentiment polarities within textual data, due to technological advancements and an increase in the number of data, AI models are becoming popular nowadays. This chapter explores the different approaches used in sentiment analysis, using publications, journals, and scientific research articles. Sentiment analysis can turn an enormous amount of raw data from social media—a rich supply of user-generated content in a variety of formats, including text, photos, videos, and audio—into insightful understandings. To better understand machine learning and generative AI, the study classifies popular research methods and applications from a range of domains.