Sentiment Analysis in Social Media: A Comprehensive Bibliometric Analysis

This research aims to present a bibliometric review of sentiment analysis in so-cial media, highlighting its evolution, key contributors, and emerging themes. The study utilizes the Clarivate Web of Science database, employing a strategic search methodology to ensure accurate results. With the assistance of RStudio and the "bibliometrix" package, the research employs a rigorous approach to analyse 764 articles, emphasizing themes, citation patterns, and collaborative dynamics. Research output from 2011 to 2023 revealed significant growth in the sentiment analysis domain, with an annual growth rate of nearly 40%. The collaborative na-ture of this domain is evident, with international collaborations constituting 27%. Geographically, the USA, China, and India dominate, though there is significant input from multiple countries worldwide. This bibliometric review is a compre-hensive exploration of sentiment analysis in social media, presenting insights into the field's progression, interdisciplinary nature, and potential future trajectories. It underscores the importance of international collaborations and quality-driven research, suggesting avenues for future exploration in the dynamic landscape of digital communication.