Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text
Faiza Mehmood,
Hina Ghafoor,
Muhammad Nabeel Asim
et al.
Abstract:With an aim to eliminate or reduce the spread of hate content across social media platforms, the development of artificial intelligence supported computational predictors is an active area of research. However, diversity of languages hinders development of generic predictors that can precisely identify hate content. Several language-specific hate speech detection predictors have been developed for most common languages including English, Chinese and German. Specifically, for Urdu language a few predictors have… Show more
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