Adversary phase change detection using SOMs and text data.
Conference
·
OSTI ID:1020501
In this work, we developed a self-organizing map (SOM) technique for using web-based text analysis to forecast when a group is undergoing a phase change. By 'phase change', we mean that an organization has fundamentally shifted attitudes or behaviors. For instance, when ice melts into water, the characteristics of the substance change. A formerly peaceful group may suddenly adopt violence, or a violent organization may unexpectedly agree to a ceasefire. SOM techniques were used to analyze text obtained from organization postings on the world-wide web. Results suggest it may be possible to forecast phase changes, and determine if an example of writing can be attributed to a group of interest.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1020501
- Report Number(s):
- SAND2010-3510C; TRN: US201116%%358
- Resource Relation:
- Conference: Proposed for presentation at the Asilomar Conference on Signals, Systems and Computers held November 7-10, 2010 in Pacific Grove, CA.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Adversary phase change detection using S.O.M. and text data.
Adversary phase change detection using S.O.M. and text data.
Using adversary text to detect adversary phase changes.
Conference
·
Sat Jan 01 00:00:00 EST 2011
·
OSTI ID:1020501
Adversary phase change detection using S.O.M. and text data.
Conference
·
Wed Sep 01 00:00:00 EDT 2010
·
OSTI ID:1020501
Using adversary text to detect adversary phase changes.
Technical Report
·
Fri May 01 00:00:00 EDT 2009
·
OSTI ID:1020501