Decoding Violence Against Women: Analysing Harassment In Middle Eastern Literature With Machine Learning And Sentiment Analysis

This article discusses the use of machine learning techniques, specifically sentiment and emotion analysis, to identify patterns and reduce bias in the analysis of sexual harassment in literary works from the Middle East. The study also sheds light on the prevalence of sexual harassment in the region and highlights the need for continued efforts to address this issue.