• WEB SCRAPING MODEL FOR HATE SPEECH TRACKING TO ENHANCE HEALTHY CYBERSPACE WITH NATURAL LANGUAGE TOOL KIT USING MACHINE LEARNING ALGORITHM

  DOI:DOI:18.A003.aarf.J14I01.008444

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NWAMINI BARTHOLOMEW TOCHUKWU AND DR. UGAH JOHN OTOZI

Abstract: Hate speech refers to any speech or expression that attacks an individual or group on the basis of their identity, such as race, religion, gender, sexual orientation, and ethnicity. It can have serious negative effects on individuals and society as a whole, including increased discrimination, violence, and social exclusion. The increasing use of social media and information sharing has given major benefits to humanity. However, this has also given rise to a variety of challenges including the spreading and sharing of hate speech messages. Thus, to solve this emerging issue in social media sites, recent studies employed a variety of feature engineering techniques and machine learning algorithms to automatically detect the hate speech messages on different datasets.