Automated Categorization of Profiles for Psychological Operations: An Analysis of Data and Text Mining Approaches

ABSTRACT

Influencing one’s adversary has always been an objective in warfare.  To date the majority of psychological influence operations have been geared toward the masses.  A tailored approach of individual targeting is preferred but requires unattainable resources.  This paper investigates whether state-of-the-art data and text mining tools can be used to automate the categorization/segmentation of individual profiles for psychological operations.  Five data and text mining software applications were tested and their results compared with those of a social psychologist.  Using statistical analysis, it was concluded that current data and text mining tools are not mature enough to produce results comparable with those produced by psychologists.


AUTHORS

Department of Information Sciences, Naval Postgraduate School, Monterey, California

Magdi N. Kamel is an Associate Professor of Information Systems in the Division of Computer and Information Sciences and Operations at the Naval Postgraduate School. His research interests are in the areas of database management and knowledge base systems. He is particularly interested in database models and languages, data modelling, data and text mining, and knowledge discovery in large databases. Prof. Kamel is a recipient of a recent Fulbright grant for teaching and research in the database and knowledge discovery area. He is the member of the ACM and IEEE computer society.

Department of Information Sciences, Naval Postgraduate School, Monterey, California

Mark Eramo was a Master’s Degree Student at the Naval Postgraduate School in the Division of Computer and Information Sciences. He graduated in September 2004.

Department of Information Sciences, Naval Postgraduate School, Monterey, California

Christopher Sutter was a Master’s Degree Student at the Naval Postgraduate School in the Division of Computer and Information Sciences. He graduated in September 2004.

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Keywords

C

C2
C2S
CDX
CIA
CIP
CPS

D

DNS
DoD
DoS

I

IA
ICS

S

SOA

X

XRY

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