Publisher
Springer Nature Switzerland
Reference10 articles.
1. Gautam, A.K., Bansal, A.: Email-based cyberstalking detection on textual data using multi-model soft voting technique of machine learning approach. J. Comput. Inf. Syst. 63(6), 1362–1381 (2023)
2. Giri, S., Banerjee, S.: Performance analysis of annotation detection techniques for cyber-bullying messages using word-embedded deep neural networks. Soc. Netw. Anal. Min. 13(1), 23 (2023)
3. Yi, P., Zubiaga, A.: Session-based cyberbullying detection in social media: a survey. Online Soc. Netw. Media 36, 100250 (2023)
4. Hasan, M.T., Hossain, M.A.E., Mukta, M.S.H., Akter, A., Ahmed, M., Islam, S.: A review on deep-learning-based cyberbullying detection. Future Internet 15(5), 179 (2023)
5. Patil, D., Pattewar, T.: Multi-model learning to detect Twitter hate speech (2022)