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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.
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New machine learning model finds hate tweeting mainly originates from right-leaning figuresThe 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.
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Multi-task learning model enhances hate speech identificationAssociate 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.
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