Abstract
Dark Web forums are heavily used by extremist and terrorist groups for communication, recruiting, ideology sharing, and radicalization. These forums often have relevance to the Iraqi insurgency or Al-Qaeda and are of interest to security and intelligence organizations. This paper presents an automated approach to sentiment and affect analysis of selected radical international Jihadist Dark Web forums. The approach incorporates a rich textual feature representation and machine learning techniques to identify and measure the sentiment polarities and affect intensities expressed in forum communications. The results of sentiment and affect analysis performed on two large-scale Dark Web forums are presented, offering insight into the communities and participants.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 |
| Pages | 104-109 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2008 |
| Event | IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan, Province of China Duration: Jun 17 2008 → Jun 20 2008 |
Other
| Other | IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 6/17/08 → 6/20/08 |
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Keywords
- Affect analysis
- Dark web forums
- Sentiment analysis
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems
Cite this
Sentiment and affect analysis of Dark Web forums : measuring radicalization on the internet. / Chen, Hsinchun.
IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008. 2008. p. 104-109 4565038.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Sentiment and affect analysis of Dark Web forums
T2 - measuring radicalization on the internet
AU - Chen, Hsinchun
PY - 2008
Y1 - 2008
N2 - Dark Web forums are heavily used by extremist and terrorist groups for communication, recruiting, ideology sharing, and radicalization. These forums often have relevance to the Iraqi insurgency or Al-Qaeda and are of interest to security and intelligence organizations. This paper presents an automated approach to sentiment and affect analysis of selected radical international Jihadist Dark Web forums. The approach incorporates a rich textual feature representation and machine learning techniques to identify and measure the sentiment polarities and affect intensities expressed in forum communications. The results of sentiment and affect analysis performed on two large-scale Dark Web forums are presented, offering insight into the communities and participants.
AB - Dark Web forums are heavily used by extremist and terrorist groups for communication, recruiting, ideology sharing, and radicalization. These forums often have relevance to the Iraqi insurgency or Al-Qaeda and are of interest to security and intelligence organizations. This paper presents an automated approach to sentiment and affect analysis of selected radical international Jihadist Dark Web forums. The approach incorporates a rich textual feature representation and machine learning techniques to identify and measure the sentiment polarities and affect intensities expressed in forum communications. The results of sentiment and affect analysis performed on two large-scale Dark Web forums are presented, offering insight into the communities and participants.
KW - Affect analysis
KW - Dark web forums
KW - Sentiment analysis
UR - http://www.scopus.com/inward/record.url?scp=51849134039&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51849134039&partnerID=8YFLogxK
U2 - 10.1109/ISI.2008.4565038
DO - 10.1109/ISI.2008.4565038
M3 - Conference contribution
AN - SCOPUS:51849134039
SP - 104
EP - 109
BT - IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
ER -