A systemetic review of machine and deep learning approaches for anti cyber bullying system
Somay Tamboli, Madavedi Sai Kumar, Shrey Chandrakar, M. Umaditya Hanuman, Nimmadala Venkata Sai, Shivali Chopra, Nagandla Hari Kiran · Computational Methods in Science and Technology · 2024
The ascent of the computerized time has introduced another period of harassing, especially through the unavoidable utilization of online entertainment stages among teenagers, prompting a flood in cyberbullying frequently bringing about extreme social shame and even suicides. In spite of negligible endeavors to resolve this issue, this paper plans to handle the issue by exploring techniques to recognize cyberbullying on web-based interpersonal organizations. It analyzes different calculations and procedures, meaning to recognize the best methodology with the most elevated exactness. Cyberbullying, a common issue influencing a huge piece of teenagers, reaches out past literary substance to remember pictures for stages like Instagram. Utilizing AI, this study examines language examples to naturally distinguish cyberbullying content, offering experiences into the discovery of cyberbullying across various mediums. Through explores different avenues regarding YouTube remarks and Instagram informational collections, the paper exhibits the adequacy of point touchy classifiers and picture based identification techniques, revealing insight into the mind boggling nature of cyberbullying location and alleviation procedures.