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Misogynistic Aggression Identification

Develop a binary classifier for classifying the text as ‘gendered’ or ‘non-gendered’. For this, the TRAC-2 dataset of 5,000 annotated data from social media each in Bangla (in both Roman and Bangla script), Hindi (in both Roman and Devanagari script) and English for training and validation is to be used.

Papers

Showing 14 of 4 papers

TitleStatusHype
Aggression and Misogyny Detection using BERT: A Multi-Task ApproachCode1
IRIT at TRAC 20200
The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts0
Aggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVMCode0
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