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GRENZE International Journal of Engineering and Technology Vol. 9 (2023), Issue 1

A Review on Detection of Offensive Language in Social Media

Authors

Raghuram A.S, Bhoomika B R, Gokul D, Malavika Kuppanda, Mohammed khaleeq

Abstract

Since the textual contents on online social media are highly unstructured, informal, and often misspelled, existing research on message-level offensive language detection cannot accurately detect offensive content. This feature of the social media to express something openly to the world have created the major problems for these online businesses and negatively impacted the well-being of the societal decorum. There are increasing cases of the abuse or offense on the social media like Hate speech, Cyber-bullying, Aggression or general Profanity. It is very much important to understand that this behavior can not only immensely affect the life of an individual or a group but could be suicidal in some cases adversely hampering the mental health of the victims .

Pages: 899 - 903