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Natural Language Processing for Hate Speech Detection: A Review
Authors
Assistant Professor, Bennett University, Uttar Pradesh, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 4, Issue 2 (2023)
- Published Online
- March-April 2023
- Pages
- 266-272
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: 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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