Cyberbullying Severe Classification Using Deep Learning Approach
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5088-1_31
Reference22 articles.
1. Wu JL, Tang CY (2022) Classifying the severity of cyberbullying incidents by using a hierarchical squashing-attention network. Appl Sci 12(7). https://doi.org/10.3390/app12073502
2. Fang Y, Yang S, Zhao B, Huang C (2021) Cyberbullying detection in social networks using bi-gru with self-attention mechanism. Information 12(4):1–18. https://doi.org/10.3390/info12040171
3. Langos C (2012) Cyberbullying: the challenge to define. Cyberpsychol Behav Soc Netw 15(6):285–289. https://doi.org/10.1089/cyber.2011.0588
4. Arif M (2021) A systematic review of machine learning algorithms in cyberbullying detection: future directions and challenges. J Inf Secur Cyber-crimes Res 4(1):01–26. https://doi.org/10.26735/gbtv9013
5. Bayzick J, Kontostathis A, Edwards L (2011) Detecting the presence of cyberbullying using computer software. Springer, pp 11–12
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