With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …

Automatic cyberbullying detection is a task of growing interest, particularly in the Natural
Language Processing and Machine Learning communities. Not only is it challenging, but it …

The prediction of a Lithium-ion battery's lifetime is very important for ensuring safety and
reliability. In addition, it is utilized as an early warning system to prevent the battery's failure …

Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the
popularity and widespread use of social media by individuals of all ages, it is vital to make …

The social media world nowadays is overwhelmed with unfiltered content ranging from
cyberbullying and cyberstalking to hate speech. Therefore, identifying and cleaning up such …

Cyberbullying detection on social media platforms is increasingly important, necessitating
robust computational methods. Current approaches, while promising, have not fully …

The increasing usage of social media networks has raised concerns about the growing
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …

Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …

Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …

Cyberbullying is a widespread adverse phenomenon among online social interactions in
today's digital society. While numerous computational studies focus on enhancing the …