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Research Article

Natural Language Processing for Hate Speech Detection: A Review

Mohini Chakarverti1
Assistant Professor, Bennett University, Uttar Pradesh, India.

Published Online: March-April 2023

Pages: 266-272

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Abstract

Abstract: The variations in hate speech laws between nations, it is generally accepted that hate speech includes expressions of hostility or disparagement of an individual or a group because of a characteristic shared by that group, such as race, colour, national origin, sex, disability, religion, or sexual orientation. In this context, researchers have populated big databases from a variety of sources, which supported field research. In many of these studies, the topic of hate speech in various non-English languages and online groups has also been covered. The natural language processing has various phases which include pre-processing, feature extraction and classification. In this paper various schemes which is related to natural language processing for the hate speech detection is reviewed and analysed in terms of certain parameters

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