Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data
Author:
Affiliation:
1. San Jose State University,USA
2. Texas Tech University,USA
Funder
U.S. National Science Foundation
U.S. Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633300.pdf?arnumber=10633300
Reference24 articles.
1. Explainable Enhanced Recurrent Neural Network for lie detection using voice stress analysis
2. LSTMNCP: lie detection from EEG signals with novel hybrid deep learning method
3. Hybrid Acoustic-Lexical Deep Learning Approach for Deception Detection
4. Detecting Deception in Political Debates Using Acoustic and Textual Features
5. Linguistic inquiry and word count: Liwc 2001;Pennebaker;Mahway: Lawrence Erlbaum Associates,2001
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