Title | ||
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Applying automatic text-based detection of deceptive language to police reports: Extracting behavioral patterns from a multi-step classification model to understand how we lie to the police. |
Abstract | ||
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•VeriPol is an effective text-based lie detection model for police reports.•Our model includes feature selection by L1 penalization and heuristic rules.•Computational experiments on a real dataset show a validation accuracy of 91.•A pilot study shows a lower bound on the empirical precision of 83%, approx.•The model analysis provides linguistic insights of how people lie to the police. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.knosys.2018.03.010 | Knowledge-Based Systems |
Keywords | DocType | Volume |
Lie detection,Information extraction,Predictive policing,Model knowledge extraction,Natural language processing,Decision support systems | Journal | 149 |
Issue | ISSN | Citations |
C | 0950-7051 | 0 |
PageRank | References | Authors |
0.34 | 21 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lara Quijano-Sanchez | 1 | 95 | 4.44 |
Federico Liberatore | 2 | 88 | 4.15 |
José Camacho-Collados | 3 | 154 | 20.39 |
Miguel Camacho-Collados | 4 | 0 | 0.34 |