Affect Intensity Analysis of Dark Web Forums

  title={Affect Intensity Analysis of Dark Web Forums},
  author={Ahmed Abbasi and Hsinchun Chen},
  journal={2007 IEEE Intelligence and Security Informatics},
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
Highly Cited
This paper has 92 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 52 extracted citations

Measuring online affects in a white supremacy forum

2016 IEEE Conference on Intelligence and Security Informatics (ISI) • 2016
View 5 Excerpts
Highly Influenced

Detecting Users with Multiple Aliases on Twitter

2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence) • 2018
View 1 Excerpt

Sentiment analysis of text using deep convolution neural networks

2017 Tenth International Conference on Contemporary Computing (IC3) • 2017
View 2 Excerpts

Twitter sentiment classification using stanford NLP

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) • 2017
View 1 Excerpt

93 Citations

Citations per Year
Semantic Scholar estimates that this publication has 93 citations based on the available data.

See our FAQ for additional information.


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

Similar Papers

Loading similar papers…