000 04294nam a22005415i 4500
001 978-3-031-02158-9
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008 220601s2015 sz | s |||| 0|eng d
020 _a9783031021589
_9978-3-031-02158-9
024 7 _a10.1007/978-3-031-02158-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aFitzpatrick, Eileen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983317
245 1 0 _aAutomatic Detection of Verbal Deception
_h[electronic resource] /
_cby Eileen Fitzpatrick, Joan Bachenko, Tommaso Fornaciari.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXVII, 101 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
505 0 _aPreface -- Acknowledgments -- Introduction -- The Background Literature on Behavioral Cues to Deception -- Data Sources -- The Language of Deception: Computational Approaches -- Open Questions -- Bibliography -- Authors' Biographies.
520 _aThe attempt to spot deception through its correlates in human behavior has a long history. Until recently, these efforts have concentrated on identifying individual "cues" that might occur with deception. However, with the advent of computational means to analyze language and other human behavior, we now have the ability to determine whether there are consistent clusters of differences in behavior that might be associated with a false statement as opposed to a true one. While its focus is on verbal behavior, this book describes a range of behaviors-physiological, gestural as well as verbal-that have been proposed as indicators of deception. An overview of the primary psychological and cognitive theories that have been offered as explanations of deceptive behaviors gives context for the description of specific behaviors. The book also addresses the differences between data collected in a laboratory and "real-world" data with respect to the emotional and cognitive state of the liar. It discusses sources of real-world data and problematic issues in its collection and identifies the primary areas in which applied studies based on real-world data are critical, including police, security, border crossing, customs, and asylum interviews; congressional hearings; financial reporting; legal depositions; human resource evaluation; predatory communications that include Internet scams, identity theft, and fraud; and false product reviews. Having established the background, this book concentrates on computational analyses of deceptive verbal behavior that have enabled the field of deception studies to move from individual cues to overall differences in behavior. The computational work is organized around the features used for classification from ����-gram through syntax to predicate-argument and rhetorical structure. The book concludes with a set of open questions that the computational work has generated.
650 0 _aArtificial intelligence.
_93407
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputational linguistics.
_96146
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputational Linguistics.
_96146
700 1 _aBachenko, Joan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983319
700 1 _aFornaciari, Tommaso.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983320
710 2 _aSpringerLink (Online service)
_983322
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031010309
776 0 8 _iPrinted edition:
_z9783031032868
830 0 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
_983324
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02158-9
912 _aZDB-2-SXSC
942 _cEBK
999 _c85485
_d85485