Affiliation:
1. Kumaraguru College of Technology, India
2. Avinashilingam Institution for Home Science and Higher Education for Women, Avinashilingam University, India
Abstract
Educational data mining is a research field that is used to enhance education system. Research studies using educational data mining are in increase because of the knowledge acquired for decision making to enhance the education process by the information retrieved by machine learning processes. Sentiment analysis is one of the most involved research fields of data mining in natural language processing, web mining, and text mining. It plays a vital role in many areas such as management sciences and social sciences, including education. In education, investigating students' opinions, emotions using techniques of sentiment analysis can understand the students' feelings that students experience in academic, personal, and societal environments. This investigation with sentiment analysis helps the academicians and other stakeholders to understand their motive on education is online. This article intends to explore different theories on education, students' learning process, and to study different approaches of sentiment analysis academics.
Subject
Artificial Intelligence,Management of Technology and Innovation,Information Systems and Management,Organizational Behavior and Human Resource Management,Strategy and Management,Information Systems
Cited by
6 articles.
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1. Knowledge Management;International Journal of Knowledge and Systems Science;2023-05-18
2. Behavioral Web Tracking in e-Learning: An Educational Process Mining Application;2022 26th International Conference Information Visualisation (IV);2022-07
3. Investigation on Viewing Behaviors for Home Shopping Channels Using Large-Scale TV Log Data;International Journal of Knowledge and Systems Science;2022-02-24
4. Benefits, Challenges and Solutions of Artificial Intelligence Applied in Education;2022 11th International Conference on Educational and Information Technology (ICEIT);2022-01-06
5. Aspect-Based Emotion Analysis on Speech for Predicting Performance in Collaborative Learning;2021 IEEE Frontiers in Education Conference (FIE);2021-10-13