Cyberbullying Detection

被引:18
作者
Haidar, Batoul [1 ]
Chamoun, Maroun [1 ]
Yamout, Fadi [2 ]
机构
[1] Univ St Joseph, Fac Engn, Beirut, Lebanon
[2] Lebanese Int Univ, Comp Sci Dept, Beirut, Lebanon
来源
UKSIM-AMSS 10TH EUROPEAN MODELLING SYMPOSIUM ON COMPUTER MODELLING AND SIMULATION (EMS) | 2016年
关键词
Cyberbullying; Machine Learning; Natura Language Processing; Arabic Natural Language Processing;
D O I
10.1109/EMS.2016.35
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cyberbullying is the new form of bullying; executed by electronic media and Internet. Cyberbullying is affecting a lot of children around the world including Arab countries. Awareness for cyberbullying is arising and research is taking place in the fields of cyberbullying detection and mitigation and not just the psychological effects of cyberbullying on the victim. Researches on cyberbullying detection have been done in many languages but none has been done on Arabic language cyberbullying detection until the time of writing this paper. Many techniques are utilized in the area of cyberbullying detection, mainly Machine Learning (ML) and Natural Language Processing (NLP). This paper presents a brief background on cyberbullying and all technologies incorporated under this field; in addition to an extensive survey regarding the techniques and advancements in multilingual cyberbullying detection; and filially proposes a plan of a solution for the problem of Arabic cyberbullying.
引用
收藏
页码:161 / 171
页数:11
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