Topic Classification Based on Scientific Article Structure: A Case Study at Can Tho University Journal of Science
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7649-2_16
Reference12 articles.
1. Ghanem, R., Erbay, H.: Spam detection on social networks using deep contextualized word representation. Multimedia Tools Appl. 82(3), 3697–3712 (2022). https://doi.org/10.1007/s11042-022-13397-8
2. Dien, T.T., Loc, B.H., Thai-Nghe, N.: Article classification using natural language processing and machine learning. In: 2019 International Conference on Advanced Computing and Applications (ACOMP). IEEE (2019). https://doi.org/10.1109/ACOMP.2019.00019
3. Yang, Y., Liu, X.: A re-examination of text categorization methods. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 42–49 (1999)
4. Kadhim, A.I.: An evaluation of preprocessing techniques for text classification. Int. J. Comput. Sci. Inf. Secur. (IJCSIS) 16(6), 22–32 (2018)
5. Nguyen, H.T., Le, A.D., Thai-Nghe, N., Dien, T.T.: An approach for similarity vietnamese documents detection from English documents. In: Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, pp. 574–587. Springer Nature Singapore (2022). https://doi.org/10.1007/978-981-19-8069-5_39
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