Digital-Based Hateful Communication Recognition System

Cyberbullying has emerged as a significant concern  social media platforms, representing  a global issue that  negatively  impacts both  individuals and  broader  society. Detecting  cyberbullying automatically is particularly challenging  due to the nuanced and  informal  language commonly used online The short, casual nature of social media posts often leads  vague  or  ambiguous expressions, complicating  the  interpretation  of  users intent.  This  complexity intensifies when dealing with uncertain context-dependent content. Although  several existing methods aim to detect cyberbullying, they frequently struggle differentiate  between the various subtle forms of hate speech due to overlapping meanings and inherent  ambiguities. Moreover, many of these approaches fall short   delivering high classification accuracy.