Deep learning algorithms for cyberbullying detection

A comprehensive exploration of deep learning in cyberbullying detection, covering challenges, methodologies, performance analysis, and future directions. The study includes innovation in model design, dataset usage, evaluation, and comparisons with prior approaches, offering insights into scalability and multilingual capabilities, with references to notable works.