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Focusing on a data-centric approach, this research project investigates international terrorism, particularly Jihadist activities, by collecting extensive web content from terrorist groups across various platforms. Utilizing advanced multilingual data mining and analytical techniques, the study conducts link, content, sentiment, and video analyses. The methodologies developed aim to enhance the field of Intelligence and Security Informatics, providing valuable insights for stakeholders engaged in terrorism research and efforts to promote international security and peace.
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Dark Web, Hsinchun Chen
- Language
- Released
- 2011
- product-detail.submit-box.info.binding
- (Hardcover)
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- Title
- Dark Web
- Subtitle
- Exploring and Data Mining the Dark Side of the Web
- Language
- English
- Authors
- Hsinchun Chen
- Publisher
- Springer New York
- Released
- 2011
- Format
- Hardcover
- Pages
- 480
- ISBN13
- 9781461415565
- Category
- Business and Economics
- Description
- Focusing on a data-centric approach, this research project investigates international terrorism, particularly Jihadist activities, by collecting extensive web content from terrorist groups across various platforms. Utilizing advanced multilingual data mining and analytical techniques, the study conducts link, content, sentiment, and video analyses. The methodologies developed aim to enhance the field of Intelligence and Security Informatics, providing valuable insights for stakeholders engaged in terrorism research and efforts to promote international security and peace.