Research Article
A Logistic Regression Model for Hate Speech Recognition
@INPROCEEDINGS{10.4108/eai.24-3-2022.2318769, author={Sania Zehra and Faraz Doja}, title={A Logistic Regression Model for Hate Speech Recognition}, proceedings={Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India}, publisher={EAI}, proceedings_a={ICIDSSD}, year={2023}, month={5}, keywords={data mining natural language processing machine learning supervised learning logistic regression}, doi={10.4108/eai.24-3-2022.2318769} }- Sania Zehra
Faraz Doja
Year: 2023
A Logistic Regression Model for Hate Speech Recognition
ICIDSSD
EAI
DOI: 10.4108/eai.24-3-2022.2318769
Abstract
People feel entitled to express their opinions on social media, and many of these opinions may be hostile to others. Hate speech recognition is essential in today's world, where it is important to keep track of what is posted in public for all to see. This paper discusses ways to detect hateful language on any topic using data mining, natural language processing, and machine learning techniques on the social media site Twitter. A Logistic Regression Model for Hate Speech Recognition is proposed. The research conducted provides details of all the hate commenters as well as an overview of the topics on which the hate is being projected the most.
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