Emotional Intelligence in Academic Decision-Making: A Systematic Review of Sentiment Mining Approaches

Abstract

This study aims to investigate and understand the importance of the intersection of Emotional Intelligence and academic decision-making through a systematic review of sentiment mining approaches. Recognizing the pivotal role of emotions in shaping educational choices, this paper explores the theoretical foundations of emotional intelligence and the integration of sentiment-mining methodologies within academic contexts. In this study, an extensive literature review is conducted focusing on emotional intelligence within the education sector, as well as exploring sentiment mining approaches. In the existing literature review, the researchers have introduced various machine learning and lexicon-based techniques, significantly contributing to the advancement of emotional intelligence in the education sector for higher studies. The findings contribute to the role of emotional intelligence in shaping academic decisions, providing valuable insights for educational practitioners. This study shows a direct relationship between emotional intelligence and decision-making within the educational sector