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All issues Volume 359 (2022) E3S Web Conf., 359 (2022) 05001 References
Open Access
Issue
E3S Web Conf.
Volume 359, 2022
The 7th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2022)
Article Number 05001
Number of page(s) 12
Section Information System Management and Environment
DOI https://doi.org/10.1051/e3sconf/202235905001
Published online 31 October 2022
  1. L.K. Singh, D.R. Renuga. Student feedback sentiment analysis: A review. Mater Today Proc [Internet]. 2021;(xxxx). Available from: https://doi.org/10.1016/j.matpr.2020.10.782 [Google Scholar]
  2. M. Enkhsaikhan, W. Liu, E.J. Holden, P. Duuring. Auto-labelling entities in low-resource text: a geological case study. Knowl Inf Syst. 2021;63(3):695–715. [CrossRef] [Google Scholar]
  3. S. Bahassine, A. Madani, M. Al-Sarem, M. Kissi. Feature selection using an improved Chi-square for Arabic text classification. J King Saud Univ - Comput Inf Sci [Internet]. 2020;32(2):225–31. Available from: https://doi.org/10.1016/j.jksuci.2018.05.010 [Google Scholar]
  4. M.M. Agüero-Torales, J.I. Abreu Salas, A.G. López-Herrera. Deep learning and multilingual sentiment analysis on social media data: An overview. Appl Soft Comput. 2021;107. [Google Scholar]
  5. W. Hachicha, L. Ghorbel, R. Champagnat, C.A. Zayani, I. Amous. Using process mining for learning resource recommendation: A Moodle case study. Procedia Comput Sci. 2021;192:853–62. [CrossRef] [Google Scholar]
  6. L. Chen, Y. Fu, S. You, H. Liu. Hybrid supervised instance segmentation by learning label noise suppression. Neurocomputing. 2022;496:131–46. [CrossRef] [Google Scholar]
  7. Wang R, Kwong S, Wang X, Jia Y. Active k -labelsets ensemble for multi-label classification. 2021;109. [Google Scholar]
  8. Mohamad Beigi O, Moattar MH. Automatic construction of domain-specific sentiment lexicon for unsupervised domain adaptation and sentiment classification. Knowledge-Based Syst [Internet]. 2021;213(xxxx):106423. Available from: https://doi.org/10.1016/j.knosys.2020.106423 [CrossRef] [Google Scholar]
  9. Zhao D, Gao Q, Lu Y, Sun D. Learning view-specific labels and label-feature dependence maximization for multi-view multi-label classification. 2022;124. [Google Scholar]
  10. Dong X, Gu S, Zhuge W, Luo T, Hou C. Active label distribution learning. Neurocomputing. 2021;436:12–21. [Google Scholar]
  11. Da’u A, Salim N, Rabiu I, Osman A. Weighted aspect-based opinion mining using deep learning for recommender system. Expert Syst Appl. 2020;140. [Google Scholar]
  12. Jacinto R, Reis E, Ferrão J. Indicators for the assessment of social resilience in flood-affected communities – A text mining-based methodology. Sci Total Environ [Internet]. 2020;744:140973. Available from: https://doi.org/10.1016/j.scitotenv.2020.140973 [CrossRef] [Google Scholar]
  13. Süzen N, Gorban AN, Levesley J, Mirkes EM. Automatic short answer grading and feedback using text mining methods. Procedia Comput Sci [Internet]. 2020;169(2019):726–43. Available from: https://doi.org/10.1016/j.procs.2020.02.171 [CrossRef] [Google Scholar]
  14. Laksana EA, Suryana A, Heryono H. Evaluation of E-learning Activity Effectiveness in Higher Education Through Sentiment Analysis by Using Naïve Bayes Classifier. Sisforma. 2018;5(1):22. [CrossRef] [Google Scholar]
  15. Liklikwatil RD, Noersasongko E, Supriyanto C. Optimasi K-Nearest Neighbor Dengan Particle Swarm Optimization Untuk Memprediksi Harga Komoditi Karet. e-Jurnal JUSITI (Jurnal Sist Inf dan Teknol Informasi). 2018;7–2(2):172–82. [Google Scholar]
  16. Ma Y, Huang R, Yan M, Li G, Wang T. Attention-based Local Mean K-Nearest Centroid Neighbor Classifier. Expert Syst Appl. 2022;201(April). [Google Scholar]
  17. Mesarcik M, Ranguelova E, Boonstra A-J, van Nieuwpoort R V. Improving novelty detection using the reconstructions of nearest neighbours. Array. 2022;14(May):100182. [CrossRef] [Google Scholar]
  18. Mehbodniya A, Rao MV, David LG, Joe Nige KG, Vennam P. Online product sentiment analysis using random evolutionary whale optimization algorithm and deep belief network. Pattern Recognit Lett. 2022;159:1–8. [CrossRef] [Google Scholar]
  19. Min X, Qian K, Zhang B, Song G, Min F. Knowledge-Based Systems Multi-label active learning through serial – parallel neural networks. 2022;251. [Google Scholar]
  20. Lai CH, Liu DR, Lien KS. A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction. Int J Mach Learn Cybern [Internet]. 2021;12(5):1203–17. Available from: https://doi.org/10.1007/s13042-020-01229-w [CrossRef] [Google Scholar]
  21. Chen X, Xie H. A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature. Cognit Comput. 2020;12(6):1097–129. [CrossRef] [Google Scholar]

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