Computer Science
Detection of Cyberbullying in Online Comments Latest Advances and Challenges
Publié le - 2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23)
Cyberbullying is a growing problem in today's digital society, with seriousconsequences for the mental health, professional life, and generalwell-being of victims. To combat this phenomenon, it is essential toeffectively detect cases of cyberbullying online. In this article, wepropose a cyberbullying detection model based on machine learning. Wecollect a dataset containing messages classified as cyberbullying, withmulticlasses labels. We then use machine learning techniques to extractrelevant features from these messages and identify cases of cyberbullying.The results of our experiments show that our detection model achieves highaccuracy, making it effective for detecting cyberbullying online. Thisresearch thus contributes to the fight against cyberbullying by proposingan innovative method for detecting this phenomenon online.