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Titlebook: Automatic Detection of Verbal Deception; Eileen Fitzpatrick,Joan Bachenko,Tommaso Fornaciar Book 2015 Springer Nature Switzerland AG 2015

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發(fā)表于 2025-3-21 18:04:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Automatic Detection of Verbal Deception
影響因子2023Eileen Fitzpatrick,Joan Bachenko,Tommaso Fornaciar
視頻videohttp://file.papertrans.cn/167/166412/166412.mp4
學(xué)科分類Synthesis Lectures on Human Language Technologies
圖書封面Titlebook: Automatic Detection of Verbal Deception;  Eileen Fitzpatrick,Joan Bachenko,Tommaso Fornaciar Book 2015 Springer Nature Switzerland AG 2015
影響因子The 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
Pindex Book 2015
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The Background Literature on Behavioral Cues to Deception,ological in nature—for example, changes in blood pressure or vocal pitch. They have also been cognitive, as are speech disfluencies and repetitions. Emotional effects such as negative affect and verbal uncertainty have also been examined. Both the cognitive and emotional effects can be connected dir
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Open Questions, separating truthful from deceptive narratives gives better results than a na?ve human judge. And the basic .-gram technique on constrained language has yielded impressive results as demonstrated by Ott et al. [2011] with further enhanced NLP techniques, using that study’s data, showing small but si
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Gleichgewicht und reibungslose BewegungThis chapter reviews the NLP studies on the automatic detection of deception that present a predictive model of deceptive verbal productions. As such, the studies have the characteristics of applied work in the NLP community, including:
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Josette Camilleri BChD, MPhil, PhDat narratives based on experienced events differ in measurable ways from fabricated experiences. Laboratory experiments such as those considered in the previous chapter have produced a body of evidence indicating that several verbal and nonverbal behaviors correlate with fabricated accounts.
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