Empowering Online Safety: A Machine Learning Approach to Cyberbullying Detection

With the growth of the Internet, social media use has increased significantly as time passed, making it the most significant network platform of the twenty-first century. Where, increasing social networks frequently has detrimental effects on society and fuels a few undesirable phenomena like cyberbullying, cyber abuse, cybercrime, and online trolling. Particularly for women and children, cyberbullying frequently causes severe mental and physical pain. In some cases, it even compels the victim to try suicide. Because of its severe detrimental effects on society, online harassment garners attention. Recently, there have been numerous incidents of online Bullying-including discovering private chat, giving rumors, and making sex remarks-all across the world. As a result, there has been an increase in the recognition of bullying texts or messages on social media.