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Topic Modelling and Sentimental Analysis of Students’ Reviews

Omer S. Alkhnbashi1, Rasheed Mohammad Nassr2,*

1 Information and Computer Science Department, King Fahd University of Petroleum and Minerals, 31261, Kingdom Saudi Arabia
2 Computer Science Department, School of Computing and Digital Technology, Birmingham City University, Birmingham, B55JU, United Kingdom

* Corresponding Author: Rasheed Mohammad Nassr. Email: email

Computers, Materials & Continua 2023, 74(3), 6835-6848.


Globally, educational institutions have reported a dramatic shift to online learning in an effort to contain the COVID-19 pandemic. The fundamental concern has been the continuance of education. As a result, several novel solutions have been developed to address technical and pedagogical issues. However, these were not the only difficulties that students faced. The implemented solutions involved the operation of the educational process with less regard for students’ changing circumstances, which obliged them to study from home. Students should be asked to provide a full list of their concerns. As a result, student reflections, including those from Saudi Arabia, have been analysed to identify obstacles encountered during the COVID-19 pandemic. However, most of the analyses relied on closed-ended questions, which limited student involvement. To delve into students’ responses, this study used open-ended questions, a qualitative method (content analysis), a quantitative method (topic modelling), and a sentimental analysis. This study also looked at students’ emotional states during and after the COVID-19 pandemic. In terms of determining trends in students’ input, the results showed that quantitative and qualitative methods produced similar outcomes. Students had unfavourable sentiments about studying during COVID-19 and positive sentiments about the face-to-face study. Furthermore, topic modelling has revealed that the majority of difficulties are more related to the environment (home) and social life. Students were less accepting of online learning. As a result, it is possible to conclude that face-to-face study still attracts students and provides benefits that online study cannot, such as social interaction and effective eye-to-eye communication.


Cite This Article

APA Style
Alkhnbashi, O.S., Nassr, R.M. (2023). Topic modelling and sentimental analysis of students’ reviews. Computers, Materials & Continua, 74(3), 6835-6848.
Vancouver Style
Alkhnbashi OS, Nassr RM. Topic modelling and sentimental analysis of students’ reviews. Comput Mater Contin. 2023;74(3):6835-6848
IEEE Style
O.S. Alkhnbashi and R.M. Nassr, "Topic Modelling and Sentimental Analysis of Students’ Reviews," Comput. Mater. Contin., vol. 74, no. 3, pp. 6835-6848. 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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