Center for Applied Mathematics and Bio informatics, Gulf University for Science and Technology, Kuwait.
* Corresponding author. Tel: (+965)1886644; email: Hussein.i@gust.edu.kw (E.O.)
Manuscript submitted May 10, 2023; accepted June 30, 2023; published November 14, 2023.
Abstract—Cyberbullying is the use of technology to harass, intimidate, or harm others. It can take many forms, such as online harassment, cyberstalking, and the sharing of embarrassing or compromising photos or videos. It is a serious issue that can have severe consequences for victims, including depression, anxiety, and even suicide. It is important for individuals to be aware of the signs of cyberbullying and to take steps to prevent and address it.
Index Terms—Artificial intelligence, cyberbullying, BLSTM, naïv e bayes, SVM, CNN, regex
Cite: Esraa Omran*, Sahar Baltajy, "Artificial Intelligence in Detecting Cyberbullying," Journal of Advances in Artificial Intelligence vol. 1, no. 3, pp. 129-140, 2023.
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (
CC BY 4.0).
