Abstract
Sentiment analysis has become increasingly a popular research area; it allows analyzing and understanding the students' opinions toward their institution to make more effective and better-targeted decisions.
The objective of this study is to apply a systematic mapping review to investigate the current state-of-the-art on the application of sentiment analysis in the domain of higher education, and to identify the most common and successful techniques /methods that have been used.
The current study was established through a systematic mapping review; therefore, the study's protocol was defined firstly, such as research questions, the search strategy, studies selection, information extraction, and how the study findings will be reported.
Based on the criteria of the study, 16 related studies are selected and classified according to their application domains, platforms, techniques, and methods that have been used in the studies.
The findings of the study showed that the adoption of the emerging area of data mining sentiment analysis in educational systems has a great potential in improving the quality of higher education institutions and evaluating the teaching process as well as teachers' performance.
The main contribution of this study is the new classifications of many studies in higher education that may help in providing nearly a full image of the application of SA techniques, the related tools in higher education and the related areas.
The study also found that applying specific SA techniques in the higher education field could offer the best means of solving certain learning problems and can be useful in developing teaching strategies and providing the required tools that institutions will be able to use for the purposes of continuous improvement.
https://www.archives.palarch.nl/index.php/jae/article/view/4779
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