Exploring Research Trends Through Topic Modeling of Scopus Data
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9486-1_17
Reference15 articles.
1. Chauhan U, Shah A (2022) Topic modeling using latent Dirichlet allocation. ACM Comput Surv 54(7):1–35. https://doi.org/10.1145/3462478
2. Copur-Gencturk Y, Choi H-J, Cohen A (2022) Investigating teachers’ understanding through topic modeling: a promising approach to studying teachers’ knowledge. J Math Teacher Educ. https://doi.org/10.1007/s10857-021-09529-w
3. Churchill R, Singh L (2022) The evolution of topic modeling. ACM Comput Surv. https://doi.org/10.1145/3507900
4. Holmes F (2022) Determining the number of topics to retain using tools from factor analysis, pp 1–14. https://doi.org/10.47260/jsem/1111
5. Kherwa P, Bansal P (2019) Topic modeling: a comprehensive review. ICST Trans Scalable Inf Syst 7(24):159623
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