Detecting Kids Cyberbullying Using Transfer Learning Approach: Transformer Fine-Tuning Models
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21199-7_18
Reference39 articles.
1. R.M. Alhejaili, W.M. Yafooz, A.A. Alsaeedi, Hate speech and abusive language detection In Twitter and challenges, in 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (IEEE, 2022), pp. 86–94
2. V. Balakrishnan, S. Khan, H.R. Arabnia, Improving cyberbullying detection using Twitter users’ psychological features and machine learning. Comput. Secur. 90, 101710 (2020)
3. T.K. Chan, C.M. Cheung, R.Y. Wong, Cyberbullying on social networking sites: the crime opportunity and affordance perspectives. J. Manag. Inf. Syst. 36(2), 574–609 (2019)
4. M. Vyawahare, M. Chatterjee, Taxonomy of cyberbullying detection and prediction techniques in online social networks. In Data communication and networks (Springer, Singapore, 2020), pp. 21–37
5. J. Hani, N. Mohamed, M. Ahmed, Z. Emad, E. Amer, M. Ammar, Social media cyberbullying detection using machine learning. Int. J. Adv. Comput. Sci. Appl. 10(5) (2019)
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Detection Android Cybercrime Model utilizing Machine Learning Technology;Engineering, Technology & Applied Science Research;2024-08-02
2. A Cybersecurity Awareness Model for the Protection of Saudi Students from Social Media Attacks;Engineering, Technology & Applied Science Research;2024-04-02
3. Toward Multi-Modal Approach for Identification and Detection of Cyberbullying in Social Networks;IEEE Access;2024
4. A Detection and Investigation Model for the Capture and Analysis of Network Crimes;Engineering, Technology & Applied Science Research;2023-10-13
5. A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm;Engineering, Technology & Applied Science Research;2023-08-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3