The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language

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This paper discusses explorations in the automatic recognition of deceptive language.

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4 p.

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Mihalcea, Rada, 1974- & Strapparava, Carlo, 1962- 2009.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 409 times , with 23 in the last month . More information about this paper can be viewed below.

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Description

This paper discusses explorations in the automatic recognition of deceptive language.

Physical Description

4 p.

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Abstract: In this paper, we present initial experiments in the recognition of deceptive language. We introduce three data sets of true and lying texts collected for this purpose, and the authors show that automatic classification is a viable technique to distinguish between truth and falsehood as expressed in language. We also introduce a method for class-based feature analysis, which sheds some light on the features that are characteristic for deceptive text.

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  • Forty-Seventh Annual Meeting of the Association for Computational Linguistics (ACL), 2009, Singapore

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UNT Scholarly Works

The Scholarly Works Collection is home to materials from the University of North Texas community's research, creative, and scholarly activities and serves as UNT's Open Access Repository. It brings together articles, papers, artwork, music, research data, reports, presentations, and other scholarly and creative products representing the expertise in our university community. Access to some items in this collection may be restricted.

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  • 2009

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  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 12:15 p.m.

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Mihalcea, Rada, 1974- & Strapparava, Carlo, 1962-. The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language, paper, 2009; (digital.library.unt.edu/ark:/67531/metadc31019/: accessed April 29, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.