Role of Educational Data Mining in Student Learning Processes With Sentiment Analysis: A Survey

被引:5
|
作者
Jayanthi, Amala M. [1 ]
Shanthi, Elizabeth, I [2 ]
机构
[1] Kumaraguru Coll Technol, Dept Comp Applicat, Coimbatore, Tamil Nadu, India
[2] Avinashilingam Univ, Avinashilingam Inst Home Sci & Higher Educ Women, Dept Comp Sci, Coimbatore, Tamil Nadu, India
关键词
Education; Learning Theories; Sentiment Analysis; Student Emotions; ACADEMIC-PERFORMANCE;
D O I
10.4018/IJKSS.2020100103
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:31 / 44
页数:14
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