Expanding a Catalogue of Deceptive Linguistic Features with NLP Technologies
Expanding a Catalogue of Deceptive Linguistic Features with NLP Technologies
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利用 NLP 技术扩展欺骗性语言特征的目录
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
D. McNamara
中科院分区：
文献类型：
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作者：
Nicholas D. Duran;S. Crossley;Charles E. Hall;Philip M. McCarthy;D. McNamara
我们使用一种称为Coh-Metrix的复杂自然语言处理工具来评估欺骗性语音的会话记录。Coh-Metrix的独特之处在于它可以根据社会和认知因素跟踪语言特征。Coh-Metrix的结果与先前独立欺骗研究报告的语言特征进行了比较，该研究使用了一种名为LIWC的自然语言处理工具。这种比较提供了几种语言特征的收敛效度，并为研究欺骗性语言提供了新的见解。
We evaluate conversational transcripts of deceptive speech using a sophisticated natural language processing tool called Coh-Metrix. Coh-Metrix is unique in that it tracks linguistic features based on social and cognitive factors. The results from Coh-Metrix are compared to linguistic features reported in previous independent deception research, which used a natural language processing tool called LIWC. The comparison provides converging validity for several linguistic features, and establishes new insights on deceptive language.