Aiswarya M


2024

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KEC AI DSNLP@LT-EDI-2024:Caste and Migration Hate Speech Detection using Machine Learning Techniques
Kogilavani Shanmugavadivel | Malliga Subramanian | Aiswarya M | Aruna T | Jeevaananth S
Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion

Commonly used language defines “hate speech” as objectionable statements that may jeopardize societal harmony by singling out a group or a person based on fundamental traits (including gender, caste, or religion). Using machine learning techniques, our research focuses on identifying hate speech in social media comments. Using a variety of machine learning methods, we created machine learning models to detect hate speech. An approximate Macro F1 of 0.60 was attained by the created models.