A survey of the literature: how scholars use text mining in Educational Studies?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-022-11193-3.pdf
Reference83 articles.
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2. Arispe, M., Capucao, J., Relucio, F., & Maligat, D. E. Jr. (2019). Teachers’ sentiments to Bikol MTB-MLE: Using sentiment analysis and text mining techniques. International Journal of Research Studies in Education, 8(4), 21–26. https://doi.org/10.5861/ijrse.2019.4906
3. Abuzir, Y. (2018). Innovative Model for Student Project Evaluation Based on Text Mining. International Journal of Research in Education and Science, 4(2), 409–419. https://doi.org/10.21890/ijres.409481
4. Bayrak, T. (2020). A content analysis of top-ranked universities’ mission statements from five global regions. International Journal of Educational Development, 72, 102130. https://doi.org/10.1016/j.ijedudev.2019.102130
5. Buenaño-Fernandez, D., González, M., Gil, D., & Luján-Mora, S. (2020). Text mining of open-ended questions in self-assessment of university teachers: An LDA topic modeling approach. Ieee Access : Practical Innovations, Open Solutions, 8, 35318–35330
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