This paper explores the use of sentiment and affect analysis on radical international jihadist Dark Web forums, which are utilized by extremist groups for communication and recruitment. By employing advanced textual feature representation and machine learning techniques, the study identifies sentiment polarities and affect intensities within forum discussions. Results from analyzing two large-scale Dark Web forums provide valuable insights into the dynamics of these communities and their participants.
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Chen, Hsinchun. "Sentiment and affect analysis of dark web forums: Measuring radicalization on the internet." 2008 IEEE International Conference on Intelligence and Security Informatics. IEEE, 2008.
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