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Misogyny Detection Using Sentiment Analysis

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Finetune pre-trained Large Language Models to classify misogynistic and non-misogynistic texts obtained from news articles from Mexico in Spanish and analyzing their results in terms of accuracy, precision, and a deep understanding of how the classifier detects both subtle and apparent misogyny.

Workshop Instructors

Valeria Vera Lagos

Graduate Student, Georgetown University