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  • 标题:A Review on Non-Supervised Approaches for Cyberbullying Detection
  • 本地全文:下载
  • 作者:Samir Abou El-Seoud ; Nadine Farag ; Gerard McKee
  • 期刊名称:International Journal of Engineering Pedagogy
  • 电子版ISSN:2192-4880
  • 出版年度:2020
  • 卷号:10
  • 期号:4
  • 页码:25-34
  • DOI:10.3991/ijep.v10i4.14219
  • 出版社:International Society for Engineering Education (IGIP) in cooperation with Kassel University Press GmbH
  • 摘要:The current period is dominated by social networks in daily life. Despite the several efforts and research practices done to overcome the issue, it still presents a problem. Despite the fact that social networks are useful for social gathering and communication, they also present new opportunities for harmful criminal acts. Cyber-harassment is an example that is enabled through the mistreatment and abuse of the internet as a means of harassing or bullying others virtually. To minimize these occurrences, research into computer-based methods has been per-formed to detect cyber-harassment. This literature survey shows that supervised learning methods were mostly used for cyber-bullying detection. Moreover, some non-supervised methods and other techniques have also shown to be effective in terms of accuracy towards cyber-bullying detection. This paper, therefore, surveys existing recent research on non-supervised techniques as well as it summarizes accuracy results obtained from several papers to discuss the significance of non-supervised learning approaches in comparison with traditional learning methods.
  • 关键词:non-supervised learning methods; supervised methods; cyberharassment
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