DETEKSI CYBERBULLYING MULTIKELAS BERKINERJA TINGGI: ENSEMBLE ROBERTA-LARGE DENGAN PRESISI CAMPURAN
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S. Bansal, N. Garg, J. Singh, and F. Van Der Walt, “Cyberbullying and mental health: past, present and future,” Front. Psychol., vol. 14, 2023, doi: 10.3389/fpsyg.2023.1279234.
A. M. El Koshiry, E. H. I. Eliwa, T. A. El-Hafeez, and M. Khairy, “Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique,” PeerJ Comput. Sci., vol. 10, pp. 1–33, 2024, doi: 10.7717/peerj-cs.1961.
F. Elsafoury, S. Katsigiannis, Z. Pervez, and N. Ramzan, “When the Timeline Meets the Pipeline: A Survey on Automated Cyberbullying Detection,” IEEE Access, vol. 9, pp. 103541–103563, 2021, doi: 10.1109/ACCESS.2021.3098979.
M. T. Hasan, M. A. E. Hossain, M. S. H. Mukta, A. Akter, M. Ahmed, and S. Islam, “A Review on Deep-Learning-Based Cyberbullying Detection,” Futur. Internet, vol. 15, no. 5, pp. 1–47, 2023, doi: 10.3390/fi15050179.
B. Ogunleye and B. Dharmaraj, “The Use of a Large Language Model for Cyberbullying Detection,” Analytics, vol. 2, no. 3, pp. 694–707, 2023, doi: 10.3390/analytics2030038.
H. Aljalaoud, K. Dashtipour, and A. Al-Dubai, “Arabic Cyberbullying Detection: A Comprehensive Review of Datasets and Methodologies,” IEEE Access, vol. 13, no. March, pp. 69021–69038, 2025, doi: 10.1109/ACCESS.2025.3561132.
Z. S. Bai and S. Malempati, “Ensemble Deep Learning (EDL) for Cyber-bullying on Social Media,” Int. J. Adv. Comput. Sci. Appl., vol. 14, no. 7, pp. 551–560, 2023, doi: 10.14569/IJACSA.2023.0140761.
Q. Li et al., “A Survey on Text Classification: From Traditional to Deep Learning,” ACM Trans. Intell. Syst. Technol., vol. 13, no. 2, 2022, doi: 10.1145/3495162.
S. Abimannan, E. S. M. El-Alfy, Y. S. Chang, S. Hussain, S. Shukla, and D. Satheesh, “Ensemble Multifeatured Deep Learning Models and Applications: A Survey,” IEEE Access, vol. 11, no. September, pp. 107194–107217, 2023, doi: 10.1109/ACCESS.2023.3320042.
A. Jakhotiya, H. Jain, B. Jain, and C. Chaniyara, “Text Pre-Processing Techniques in Natural Language Processing: A Review,” Int. Res. J. Eng. Technol., vol. 9, no. 2, pp. 878–880, 2022.
S. Nazir, M. Asif, M. Rehman, and S. Ahmad, “Machine learning based framework for fine-grained word segmentation and enhanced text normalization for low resourced language,” PeerJ Comput. Sci., vol. 10, no. 1, pp. 1–19, 2024, doi: 10.7717/peerj-cs.1704.
G. Tucudean, M. Bucos, B. Dragulescu, and C. D. Caleanu, “Natural language processing with transformers: a review,” PeerJ Comput. Sci., vol. 10, pp. 1–22, 2024, doi: 10.7717/PEERJ-CS.2222.
Y. Chang et al., “A Survey on Evaluation of Large Language Models,” ACM Trans. Intell. Syst. Technol., vol. 15, no. 3, 2024, doi: 10.1145/3641289.
I. N. Santana, R. S. Oliveira, and E. G. S. Nascimento, “Text Classification of News Using Transformer-based Models for Portuguese,” J. Syst. Cybern. Informatics, vol. 20, no. 5, pp. 33–59, 2022, doi: 10.54808/jsci.20.05.33.
N. Alangari, M. El Bachir Menai, H. Mathkour, and I. Almosallam, “Exploring Evaluation Methods for Interpretable Machine Learning: A Survey,” Inf., vol. 14, no. 8, 2023, doi: 10.3390/info14080469.
H. Allam, L. Makubvure, B. Gyamfi, K. N. Graham, and K. Akinwolere, “Text Classification: How Machine Learning Is Revolutionizing Text Categorization,” Inf., vol. 16, no. 2, 2025, doi: 10.3390/info16020130.
A. A. Jamjoom, H. Karamti, M. Umer, S. Alsubai, T. H. Kim, and I. Ashraf, “RoBERTaNET: Enhanced RoBERTa Transformer Based Model for Cyberbullying Detection With GloVe Features,” IEEE Access, vol. 12, no. May 2024, pp. 58950–58959, 2024, doi: 10.1109/ACCESS.2024.3386637.
A. F. Alqahtani and M. Ilyas, “An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying,” Mach. Learn. Knowl. Extr., vol. 6, no. 1, pp. 156–170, 2024, doi: 10.3390/make6010009.
A. Muneer, A. Alwadain, M. G. Ragab, and A. Alqushaibi, “Cyberbullying Detection on Social Media Using Stacking Ensemble Learning and Enhanced BERT,” Inf., vol. 14, no. 8, 2023, doi: 10.3390/info14080467.
I. Tabassum and V. Nunavath, “A Hybrid Deep Learning Approach for Multi-Class Cyberbullying Classification Using Multi-Modal Social Media Data,” Appl. Sci., vol. 14, no. 24, 2024, doi: 10.3390/app142412007.