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where their poster on Deep Learning for Hate Speech Detection in Twitter was voted as the best poster presentation among 166 submissions from around the world.
The study, “Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures,” was authored by Lanqin Yuan and Marian-Andrei Rizoiu.
Associate Professor Rizoiu outlines the new model in the paper, "Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures," published in Computer ...
More information: Han Tian et al, Deep learning for Depression Recognition from Speech, Mobile Networks and Applications (2023). DOI: 10.1007/s11036-022-02086-3 ...
Ahmedabad: How can hate speech or offensive ... when words are written using asterisks to evade algorithms, or when allusions and euphemisms are used? Let's make the detection even more challenging.