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.