Cyber Bullying Detection on Social Media using Machine Learning
DOI:
https://doi.org/10.32628/CSEIT217381Keywords:
Cyberbullying, social media, Support Vector Machine, Naïve Bayes, Test-Train Split, Classification, DetectionAbstract
From the day internet came into existence, the era of social networking sprouted. In the beginning, no one may have thought internet would be a host of numerous amazing services like the social networking. Today we can say that online applications and social networking websites have become a non-separable part of one’s life. Many people from diverse age groups spend hours daily on such websites. Despite the fact that people are emotionally connected together through social media, these facilities bring along big threats with them such as cyber-attacks, which includes cyberbullying.
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