WMD Intent Identification and Interaction Analysis Using the Dark Web

Abstract

Our primary goal is to develop computational models and techniques for understanding the intent and interaction patterns among adversarial parties. The basic research questions are grounded on computational linguistics and social media analytics. We are leveraging our highly successful Dark Web project as our research testbed (for identifying target adversarial groups and participants) and using other data sets and languages to verify performance. Approach: Develop basic research in Sentiment and Affect Analysis (SAA) and Interaction Coherence Analysis (ICA) to assist cyber analysts and policy makers in examining multilingual online WMD related Dark Web topic, sentiment, intent, and interaction dynamics.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2016
Accession Number
AD1007651

Entities

People

  • Hsinchun Chen

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Biomedical
  • Counter WMD
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Programs
  • Correlation Analysis
  • Dark Web
  • Data Mining
  • Data Sets
  • Information Science
  • Intelligent Systems
  • Internet
  • Law
  • Machine Learning
  • Network Science
  • Personnel Management
  • Professional Development
  • Social Media
  • Students
  • Terrorists
  • United States

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Cyber