Affect Intensity Analysis of Dark Web Forums

@article{Abbasi2007AffectIA,
  title={Affect Intensity Analysis of Dark Web Forums},
  author={Ahmed Abbasi and Hsinchun Chen},
  journal={2007 IEEE Intelligence and Security Informatics},
  year={2007},
  pages={282-288}
}
Affects play an important role in influencing people's perceptions and decision making. Affect analysis is useful for measuring the presence of hate, violence, and the resulting propaganda dissemination across extremist groups. In this study we performed affect analysis of U.S. and Middle Eastern extremist group forum postings. We constructed an affect lexicon using a probabilistic disambiguation technique to measure the usage of violence and hate affects. These techniques facilitate in depth… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 28 references

" Experiments with mood classification "

K. Karahalio J. Donath, F. Viegas
Proceedings of Stylistic Analysis of Text for Information Access Workshop • 2005

U . S . extremist groups on the web : Link and content analysis "

A. Abbasi, H. Chen
IEEE Int . Sys . • 2005

A model of textual affect sensing using real - world knowledge

W. Sack.
Proceedings of the 8 th International conference on Intelligent user interfaces • 2003

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