Page 147 - Kỷ yếu hội thảo khoa học lần thứ 12 - Công nghệ thông tin và Ứng dụng trong các lĩnh vực (CITA 2023)
P. 147

131


                      11. Nguyen, Q.T., Nguyen, T.L., Luong, N. H., Ngo, Q.H.: Fine-Tuning BERT for Sentiment
                         Analysis of Vietnamese Reviews, In: 2020 7th NAFOSTED Conference on Information
                         and Computer Science (NICS), pp. 302-307. IEEE, Ho Chi Minh City, Vietnam (2020).
                      12. Vo,  H.T.,  Lam,  H.C.,  Nguyen,  D.D.,  Tuong,  N.H.:  Topic  classification  and  sentiment
                         analysis for Vietnamese education survey system. In: Asian Journal of Computer Science
                         and Information Technology. AJCSIT, vol. 6, no. 3, pp. 27-34 (2016).
                      13. Nguyen, P.X.V., Truong, T.T.H., Nguyen, K.V., Nguyen, N.L.T.: Deep Learning versus


                         NAFOSTED Conference on  Information and Computer Science (NICS). pp. 75 80. Ho
                         Chi Minh City, Vietnam (2018).
                      14. Nguyen,  K.V.,  Ho,  V.A.,  Nguyen,  D.H.C,  Nguyen,  D.H., Pham,  L.T.V,  Nguyen,  D.V.,
                         Nguyen,  N.L.T.:  Emotion  Recognition  for  Vietnamese  Social  Media  Text.  In:  Nguyen,
                         LM., Phan, XH., Hasida, K., Tojo, S. (eds) Computational Linguistics. PACLING 2019.
                         Communications in Computer and Information Science. vol. 1215, pp. 319 333. Springer,
                         Singapore (2020)
                      15. Nguyen, D.Q., Nguyen, A.T.: PhoBERT: PhoBERT: Pre-trained language models for Vi-
                         etnamese. In: Findings of the Association for Computational Linguistics: EMNLP 2020.
                         pp. 1037 1042 (2020).
                      16. Navyasree,  G.,  Saka,  N.,  Narayana,  DR.V.S.:  Using  Hashtags  to  Capture  Fine  Emotion
                         Categories from Tweets. In: International Journal for Innovative Engineering & Manage-
                         ment Research. vol. 8, no. 5, pp. 288 296. SSRN (2019).
                      17.                                                             018).
                      18. Mohammad, S.M., Bravo-Marquez, F.: Emotion Intensities in Tweets. In: Proceedings of
                         the  Sixth  Joint  Conference  on  Lexical  and  Computational  Semantics  (*SEM  2017). pp.
                         65 77. Association for Computational Linguistics, Vancouver, Canada (2017).
                      19. Nguyen, K.D.T., Viet, A.P., Hoang, T.H.: Vietnamese Document Classification Using Hi-
                         erarchical Attention Networks. In: Satapathy, S., Bhateja, V., Nguyen, B., Nguyen, N., Le,
                         DN. (eds) Frontiers in Intelligent Computing: Theory and Applications. Advances in Intel-
                         ligent Systems and Computing, vol. 1014, pp. 120-130. Springer, Singapore (2020).
                      20. Pham, Q.H., Nguyen, V.A., Doan, L.B., Tran, N.N., Thanh, T.M.: From Universal Lan-
                         guage Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech
                         Detection. In: 2020 12th International Conference on Knowledge and Systems Engineering
                         (KSE), pp. 37-42 (2020).
                      21. Sau, T.N.T., Toanh, T.Q.: Application of Bert Architecture for Storage Time of Record
                         Classification Problem. In: TNU Journal of Science and Technology. vol. 267, no. 7, pp.
                         41 49, https://doi.org/10.34238/tnu-jst.3990 (2021).
                      22. Zhang, S., Wu, Z., Meng, H., Cai, L.: Facial Expression Synthesis Using PAD Emotional
                         Parameters for a Chinese Expressive Avatar. vol. 4738, pp. 24 35 (2007).






















                     ISBN: 978-604-80-8083-9                                                  CITA 2023
   142   143   144   145   146   147   148   149   150   151   152