Abstract：
:There is an increasing demand for automated verbal deception detection systems. We propose named entity recognition (NER; i.e., the automatic identification and extraction of information from text) to model three established theoretical principles: (i) truth tellers provide accounts that are richer in detail, (ii) contain more contextual references (specific persons, locations, and times), and (iii) deceivers tend to withhold potentially checkable information. We test whether NER captures these theoretical concepts and can automatically identify truthful versus deceptive hotel reviews. We extracted the proportion of named entities with two NER tools (spaCy and Stanford's NER) and compared the discriminative ability to a lexicon word count approach (LIWC) and a measure of sentence specificity (speciteller). Named entities discriminated truthful from deceptive hotel reviews above chance level, and outperformed the lexicon approach and sentence specificity. This investigation suggests that named entities may be a useful addition to existing automated verbal deception detection approaches.
journal_name
J Forensic Scijournal_title
Journal of forensic sciencesauthors
Kleinberg B,Mozes M,Arntz A,Verschuere Bdoi
10.1111/1556-4029.13645subject
Has Abstractpub_date
2018-05-01 00:00:00pages
714-723issue
3eissn
0022-1198issn
1556-4029journal_volume
63pub_type
杂志文章abstract：:Determining appropriate analytical thresholds (ATs) for forensic DNA analysis is critical to maximize allele detection. In this study, six methods to determine ATs for forensic DNA purposes were examined and compared. Four of the methods rely on analysis of the baseline noise of a number of negatives, while two utiliz...
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journal_title：Journal of forensic sciences
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更新日期：2005-09-01 00:00:00
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journal_title：Journal of forensic sciences
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更新日期：1995-07-01 00:00:00
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更新日期：1994-05-01 00:00:00
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journal_title：Journal of forensic sciences
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journal_title：Journal of forensic sciences
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更新日期：1991-05-01 00:00:00
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更新日期：1998-01-01 00:00:00
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journal_title：Journal of forensic sciences
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