Misogynistic Aggression Identification

Misogynistic Aggression Identification is an important task in the field of natural language processing, aimed at identifying gender discrimination and aggressive content in social media texts through the construction of a binary classifier. This task utilizes the TRAC-2 dataset, which includes 5,000 annotated data points covering Bengali (in Roman and local scripts), Hindi (in Roman and Devanagari scripts), and English, to train and validate models. The goal is to enhance the detection of online misogynistic behavior, providing technical support for creating a safer and more inclusive online environment.