Research on Online Public Opinion Patterns under the Boundary between Local and Non-Local Students in DSE: A Case Study of Social Media Texts and Comments
This study focuses on the topic of local and non-local students in the Hong Kong Diploma of Secondary Education (DSE), collecting 1203 social media texts and comment data from Douyin and Xiaohongshu (Little Red Book) platforms, employing sentiment analysis and topic identification techniques to explore the characteristics of online public opinion patterns. The research findings reveal that overall public opinion exhibits a neutral tendency (79.8%), with an average sentiment score of 0.14. DSE-related discussions totaled 216 entries, local student-related discussions 146 entries, non-local student-related discussions 41 entries, and comparative discussions 35 entries. Significant emotional differences exist among different groups, with a standard deviation of 0.11, where the comparative discussion group shows the most negative sentiment (？0.23), reflecting the complexity and sensitivity of educational equity issues.
References
[1]
Chan, K. O. W., Ng, M. K. W., So, J. C. H., & Chan, V. C. W. (2021). Evaluation of Generic Competencies among Secondary School Leavers from the New Academic Structure for Senior Secondary Education in Hong Kong. PublicAdministrationandPolicy,24, 182-194. https://doi.org/10.1108/pap-07-2020-0033
[2]
Dmoshinskaia, N., Gijlers, H., & de Jong, T. (2021). Learning from Reviewing Peers’ Concept Maps in an Inquiry Context: Commenting or Grading, Which Is Better? Studies in Educational Evaluation, 68, Article 100959. https://doi.org/10.1016/j.stueduc.2020.100959
[3]
Jim, J. R., Talukder, M. A. R., Malakar, P., Kabir, M. M., Nur, K., & Mridha, M. F. (2024). Recent Advancements and Challenges of NLP-Based Sentiment Analysis: A State-of-the-Art Review. NaturalLanguageProcessingJournal,6, Article 100059. https://doi.org/10.1016/j.nlp.2024.100059
[4]
Lei, C., & Tang, S. (2023). An Analysis of Hong Kong High School Curriculum with Implications for United Nations Sustainable Development Goals. SmartLearningEnvironments,10, 1-18. https://doi.org/10.1186/s40561-023-00267-5
[5]
Lo, W. Y. W., & Li, D. (2023). Reimagining the Notion of Hong Kong as an Education Hub: National Imperative for Higher Education Policy. InternationalJournalofEducationalDevelopment,103, Article 102938. https://doi.org/10.1016/j.ijedudev.2023.102938
[6]
Mao, Y., Liu, Q., & Zhang, Y. (2024). Sentiment Analysis Methods, Applications, and Challenges: A Systematic Literature Review. JournalofKingSaudUniversity-ComputerandInformationSciences,36, Article 102048. https://doi.org/10.1016/j.jksuci.2024.102048
[7]
Tsui, K., Lee, C. J., Hui, K. S., Chun, W. D., & Chan, N. K. (2019). Academic and Career Aspiration and Destinations: A Hong Kong Perspective on Adolescent Transition. EducationResearchInternational,2019, Article ID: 3421953. https://doi.org/10.1155/2019/3421953
[8]
Wang, Z., Huang, D., Cui, J., Zhang, X., Ho, S., & Cambria, E. (2025). A Review of Chinese Sentiment Analysis: Subjects, Methods, and Trends. ArtificialIntelligenceReview,58, 1-35. https://doi.org/10.1007/s10462-024-10988-9
[9]
Yao, G. (2022). Deep Learning-Based Text Sentiment Analysis in Chinese International Promotion. SecurityandCommunicationNetworks,2022, Article ID: 7319656. https://doi.org/10.1155/2022/7319656
[10]
Yu, X., Wu, S., Chen, W., & Huang, M. (2021). Sentiment Analysis of Public Opinions on the Higher Education Expansion Policy in China. SageOpen,11, 1-13. https://doi.org/10.1177/21582440211040778
