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Classification of social media Toxic comments using Machine learning models. (arXiv:2304.06934v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
The abstract outlines the problem of toxic comments on social media
platforms, where individuals use disrespectful, abusive, and unreasonable
language that can drive users away from discussions. This behavior is referred
to as anti-social behavior, which occurs during online debates, comments, and
fights. The comments containing explicit language can be classified into
various categories, such as toxic, severe toxic, obscene, threat, insult, and
identity hate. This behavior leads to online harassment and cyberbullying,
which forces individuals to stop expressing their …
abstract arxiv behavior classification cyberbullying discussions drive harassment ideas identity language leads machine machine learning machine learning models media opinions platforms social social media social media platforms