Authors: Sudipkumar Ghanvat, Aditi Shintre, Sohail Hawaldar
Abstract: The study gives a comprehensive bibliometric study of the sentiment analysis research in customer reviews using Scopus as major data source. The analysis, spanning the 2010 to 2024 period, covers trends in publication, key contributors, collaborative networks, thematic hotspots and emerging research directions. The results indicate that the publication of sentiment analysis increased significantly in artificial intelligence, business, e commerce, fields over the last decade. Top institutions including Universiti Sains Malaysia and Vellore Institute of Technology have done most of the work along with leading authors like Hashimoto, K. and Okada, M. In terms of geography, India, China, the United States, Malaysia and Indonesia are the countries that dominate global research contributions. Thematic analysis shows that machine learning, deep learning, natural language processing, and explainable AI are popular subjects, along with practical applications in customer satisfaction and recommendation systems. The work also suggests promising future directions such as real time sentiment dashboards, multilingual and multimodal approaches and integration of ethical and privacy aware practices. This bibliometric review highlights influential authors, institutions, and research themes to enable both researchers and industry practitioners to understand the history and future of sentiment analysis.
