Misogyny Detection in Roman Urdu Using Transformer Models

Hamid

Hamid Rehman

Addressed a unique and impactful problem of identifying misogynistic content in Roman Urdu text.
Applied a range of transformer models like BERT, RoBERTa, GPT-2, and XLNet, achieving outstanding results with RoBERTa, which excelled in this domain-specific task.
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Posted Dec 30, 2024

Addressed a unique and impactful problem of identifying misogynistic content in Roman Urdu text. Applied a range of transformer models.