An Overview of Sentiment Analysis and Educational Data Mining

The book chapter titled “An Overview of Sentiment Analysis and Educational Data Mining” provides a comprehensive overview of two critical areas in data analysis: sentiment analysis and educational data mining including types of Sentiment Analysis and Its advantages. With the help of natural language processing, Sentiment Analysis has shown the capability to differentiate sentiments expressed in textual/audio/video data, while Educational Data Mining uses the analytical techniques to understand the patterns to get valuable insights from the data of educational domain. This chapter explores an overview on the fundamental concepts of Sentiment Analysis, describing its relevance and effectiveness. By identifying and summarizing insights from both Educational Data Mining and Sentiment Analysis, this chapter makes a scholarly and thought-provoking contribution to unwind a broader discussion on enhancing educational experiences through data-driven approaches, enabling the possibility of adaptive decision-making and generating improvised learning outcomes finally. It helps to scale up the overall efficiency and effectiveness of the education system.