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Decoding violence against women: analysing harassment in Middle Eastern literature with machine learning and sentiment analysis
HumanitiesHumanities and Social Sciences Communications

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!... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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