HATE SPEECH DETECTION

dc.contributor.author	Katiyar, Kanchi
dc.contributor.author	Rani, Bhawna
dc.contributor.author	Kumari, Divya
dc.date.accessioned	2024-09-20T05:25:25Z
dc.date.available	2024-09-20T05:25:25Z
dc.date.issued	2023-03
dc.identifier.uri	http://10.10.11.6/handle/1/18236
dc.description	SCHOOL OF COMPUTER SCIENCE AND ENGINEERING BACHELOR OF COMPUTER APPLICATION	en_US
dc.description.abstract	With the pervasive growth of online communication platforms, the rise of hate speech has become a significant concern, necessitating effective tools for its detection and mitigation. This project presents a comprehensive approach to hate speech detection leveraging machine learning techniques. The proposed system integrates natural language processing (NLP) and deep learning algorithms to analyze textual data and identify instances of hate speech.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Galgotias University	en_US
dc.subject	HATE	en_US
dc.subject	SPEECH	en_US
dc.subject	DETECTION	en_US
dc.title	HATE SPEECH DETECTION	en_US
dc.type	Technical Report	en_US