Using Adversary Text to Detect Adversary Phase Changes

Abstract

The purpose of this work was to help develop a research roadmap and small proof of concept for addressing key problems and gaps from the perspective of using text analysis methods as a primary tool for detecting when a group is undergoing a phase change. Self-organizing Map (SOM) techniques were used to analyze text data obtained from the world-wide web. Statistical studies indicate that it may be possible to predict phase changes, as well as detect whether or not an example of writing can be attributed to a group of interest.

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Document Details

Document Type
Technical Report
Publication Date
Aug 10, 2009
Accession Number
ADA541020

Entities

People

  • Adele B. Doser
  • Ann E. Speed
  • Christina E. Warrender

Organizations

  • Sandia National Laboratories

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Data Acquisition
  • Data Analysis
  • Data Sets
  • Dimensionality Reduction
  • Governments
  • Internet
  • Language
  • Man Borne Improvised Explosive Devices
  • Mobile Phones
  • Pattern Recognition
  • Sri Lanka
  • Statistical Analysis
  • Websites
  • World Wide Web

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.
  • Strategic Security Studies