Browse State-of-the-Art › Misogynistic Aggression Identification
Misogynistic Aggression Identification
2 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
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.
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2 shown of 2 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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1 May 2020 1 repository listedIn our study, we used English BERT (En-BERT), RoBERTa, DistilRoBERTa, and SVM based classifiers for English language.
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1 May 2020 1 repository listedIn recent times, the focus of the NLP community has increased towards offensive language, aggression, and hate-speech detection.
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