Using Adversary Text to Detect Adversary Phase Changes

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 use...

Full description

Saved in:
Bibliographic Details
Main Authors: Doser, Adele B, Speed, Ann E, Warrender, Christina E
Format: Report
Language:English
Subjects:
ADVERSARIES
BOOTSTRAPPING(TEXT PROCESSING)
Information Science
INTERNET
JACKKNIFING(TEXT PROCESSING)
Linguistics
MAPPING(TRANSFORMATIONS)
MATHEMATICAL MODELS
ONLINE SYSTEMS
PE63231F
PHASE TRANSFORMATIONS
SELF ORGANIZING SYSTEMS
SOFTWARE TOOLS
SOM(SELF ORGANIZING MAPS)
STATISTICAL ANALYSIS
Statistics and Probability
TEXT ANALYSIS
TEXT PROCESSING
TEXTUAL ANALYSIS
TRANSFORMATIONS(MATHEMATICS)
U-MATRIX(UNIFIED DISTANCE MATRICES)
URL(UNIFORM RESOURCE LOCATORS)
WUAFRL28300415
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.