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008			230427s2015 sz | s |||| 0|eng d
020			_a9783031021589
024	7		_a10.1007/978-3-031-02158-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aP98.3 _b2015 EB
100	1		_aFitzpatrick, Eileen _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688289
245	1	0	_aAutomatic Detection of Verbal Deception _cby Eileen Fitzpatrick, Joan Bachenko, Tommaso Fornaciari
250			_a1st edition 2015
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XVII, 101 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSynthesis Collection of Technology_2015
650		7	_2embne _9666075 _aLingüística computacional
650		7	_2embne _9684654 _aLingüística forense
700	1		_aBachenko, Joan C. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688290
700	1		_aFornaciari, Tommaso _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688291
776	0	8	_iPrinted edition: _z9783031010309
776	0	8	_iPrinted edition: _z9783031032868
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02158-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI