Emerging Trends and Challenges in Educational Sentiment Analysis

The book chapter, “Emerging Trends and Challenges in Educational Sentiment Analysis,” discusses a comprehensive exploration of the evolving landscape where Sentiment Analysis integrates with the field of education. The chapter explains with a thorough literature review, provides a nuanced understanding of the historical context and offers foundational works in educational sentiment analysis. As the progress, the chapter focused on exploration of emerging trends, providing insight into the latest advancements of Sentiment Analysis within educational contexts. Multimodal Sentiment Analysis, context-aware methodologies and the integration of explainable AI are among the most trends explained in this chapter. The discussion extends to the incorporation of real-time feedback systems and the application of transfer learning, reflecting the dynamic nature of Sentiment Analysis applications within educational domains. In parallel, the chapter examines the current challenges that practitioners and researchers encounter in educational sentiment analysis. Interpretability, ethical considerations and the demand for context-aware analyses are among the challenges discussed and how to address these aspects also discussed. Further, the chapter investigates the ethical concerns those are critical to safeguard the confidentiality and privacy of the users/stakeholders in educational world. The exploration of challenges is complemented by insights into potential solutions and future directions that could mitigate these impediments. This book chapter serves as a valuable resource for educator, researcher and scholars seeking to grasp the current state of educational sentiment analysis. By combining a comprehensive literature review, insights into emerging trends, distinct and critical influencing factors discussion of challenges, this chapter contributes to the broader discourse on Sentiment Analysis within the realm of Educational Data Mining.