Open AccessSentiment analysis in higher education: a systematic mapping review
Author(s) -
Reem Sulaiman Baragash,
Hanan Aldowah
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1860/1/012002
Subject(s) - sentiment analysis , higher education , context (archaeology) , quality (philosophy) , computer science , systematic review , process (computing) , data science , domain (mathematical analysis) , artificial intelligence , political science , medline , geography , mathematics , mathematical analysis , philosophy , archaeology , epistemology , law , operating system
In the last years, sentiment analysis (SA) has attracted increasing interest in the text mining area. It increasingly becomes a popular research area for opinion mining in education that analyses and understands students’ opinions toward their institutions for improving the quality of decision-making. In this study, a systematic review was conducted to explore the recent application of sentiment analysis in higher education; to classify SA techniques and methods commonly and successfully used in the higher education domains. A systematic mapping review was applied to 840 articles, and 22 related studies are selected based on the study’s criteria. The findings revealed that the prior studies mainly focus on six domains for applying SA in the higher education context and the teaching quality evaluation was the most addressed domain. The study also found that applying specific SA techniques could be the best tool for institutions to solve particular learning problems and a useful tool for improving higher education institutions’ quality and evaluating the teaching process as well as teachers’ performance. This study’s main contribution is the new categorizations of the SA applications techniques in higher education to provide a closely full image of SA-related tools and areas.