Autores
Ahani Zahra
Shahiki Tash Moein
Zamir Muhammad Tayyab
Gelbukh Alexander
Título Zavira@DravidianLangTech 2024:Telugu hate speech detection using LSTM
Tipo Congreso
Sub-tipo Memoria
Descripción 4th Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, DravidianLangTech 2024
Resumen Hate speech is communication, often oral or written, that incites, stigmatizes, or incites violence or prejudice against individuals or groups based on characteristics such as race, religion, ethnicity, gender, sexual orientation, or other protected characteristics. This usually involves expressions of hostility, contempt, or prejudice and can have harmful social consequences. Among the broader social landscape, an important problem and challenge facing the medical community is related to the impact of people’s verbal expression. These words have a significant and immediate effect on human behavior and psyche. Repeating such phrases can even lead to depression and social isolation. In an attempt to identify and classify these Telugu text samples in the social media domain, our research LSTM and the findings of this experiment are summarized in this paper, in which out of 27 participants, we obtained 8th place with an F1 score of 0.68. © 2024 Association for Computational Linguistics.
Observaciones
Lugar St. Julians
País Malta
No. de páginas 107-112
Vol. / Cap.
Inicio 2024-03-22
Fin
ISBN/ISSN 9798891760783