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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150531
Doc. No : ET22323
Main Entry : Douglas Paul Twitchell
Title Proper : Automated Analysis Techniques for Online Conversations with Application in Deception Detection
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Portions of this dissertation have been previously published in [141, 142, 4, 143, 30,140, 163]. In addition, portions of this research were supported by funding from the U.S. Air Force Oce of Scientiطc Research under the U. S. Department of Defense Uni-versity Research Initiative (Grant F49620-01-1-0394). The views, opinions, and/orطndings in this report are those of the authors and should not be construed as anocial Department of Defense position, policy, or decision.I would like to thank my committee, Jay F. Nunamaker, Jr., James Lee, TheraniMadhusudan, Terry Langendoen, and Judee Burgoon, for their help and feedback.I would also like to thank Conan Albrecht, Paul Lowry, John Kruse, Mark Adkins,Karl Wiers, Janna Crews, Jinwei Cao, Matthew Jensen, Tom Meservy, Joel Helquist,Chris Steinmeyer, Chris Diller, and the remainder of those in the Center for theManagement of Information and MIS faculty.Most importantly, I would like to thank my parents, Terry and Diane Twitchellfor the love and support they have given me throughout my academic career.-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45529.pdf
Title and statement of responsibility and : Automated Analysis Techniques for Online Conversations with Application in Deception Detection [Thesis]
 
 
 
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