Decoding violence against women: analysing harassment in middle eastern literature with machine learning and sentiment analysis
Hui Qi Low,
Pantea Keikhosrokiani,
Moussa Pourya Asl
Abstract:The rising prevalence of harassment in Middle Eastern countries is mirrored in literary works from the region. However, extracting data from these texts to understand the typology and frequency of the cases poses a significant challenge due to human cognitive limitations and potential biases. Thus, this study aims to use natural language processing (NLP) approaches to propose a machine learning framework for text mining of sexual harassment content in literary texts. The data source for this study consists of … Show more
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