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Social Media Cyberbullying Detection using Machine Learning
2019
International Journal of Advanced Computer Science and Applications
With the exponential increase of social media users, cyberbullying has been emerged as a form of bullying through electronic messages. Social networks provides a rich environment for bullies to uses these networks as vulnerable to attacks against victims. Given the consequences of cyberbullying on victims, it is necessary to find suitable actions to detect and prevent it. Machine learning can be helpful to detect language patterns of the bullies and hence can generate a model to automatically
doi:10.14569/ijacsa.2019.0100587
fatcat:gxdjcevxf5eazlgamq573cfpsy