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The Deceptive Language Processing Framework: Fusing Top-Down and Bottom-Up Approaches to Deception Discovery

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0344
Agency Tracking Number: N10A-029-0533
Amount: $70,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T029
Solicitation Number: 2010.A
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-06-28
Award End Date (Contract End Date): 2011-04-30
Small Business Information
15400 Calhoun Drive Suite 400
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Xiong Liu
 Research Scientist
 (301) 294-4629
Business Contact
 Mark James
Title: Dir. Contract & Proposal
Phone: (301) 294-5221
Research Institution
 Cornell University
 Jeff Hancock
Office of Sponsored Programs 373 Pine Tree Road
Ithaca, NY 14850
United States

 (607) 255-4452
 Nonprofit College or University

The exponential growth of text-based communication associated with the Internet has lead to a vast increase in the amount of unstructured messages that open source intelligence needs to process. This increase has lead to the need to develop methods for facilitating the detection of deception in various forms of text-based messages, from chat rooms, emails, weblogs, to text messaging. Methods are required to discover hidden messages, hostile disinformation, and author misrepresentation. To address the critical need of marrying theoretical and computational approaches to deception detection, Intelligent Automation, Inc. (IAI) proposes to develop a novel Deceptive Language Processing (DLP) framework for deception analysis of large-scale quantities of text. DLP synthesizes social and psychological theory with computational techniques (e.g., natural language processing, data mining) for modeling the relationships between discourse and deception in its various forms.

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