Humanities
Decoding violence against women: analysing harassment in Middle Eastern literature with machine learning and sentiment analysis
H. Q. Low, P. Keikhosrokiani, et al.
This groundbreaking study by Hui Qi Low, Pantea Keikhosrokiani, and Moussa Pourya Asl employs advanced natural language processing and machine learning techniques to delve into the nuances of sexual harassment as depicted in twelve Middle Eastern novels. With a remarkable 75.8% accuracy in harassment classification, the findings reveal a predominance of negative sentiment, even in instances of physical harassment. Discover the fascinating insights from their analysis!
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