Abstract
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.
| Original language | English (US) |
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| Title of host publication | Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 |
| Pages | 243-248 |
| Number of pages | 6 |
| State | Published - Nov 4 2009 |
| Externally published | Yes |
| Event | 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 - Sanibel Island, FL, United States Duration: Mar 19 2009 → Mar 21 2009 |
Publication series
| Name | Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 |
|---|
Other
| Other | 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 |
|---|---|
| Country | United States |
| City | Sanibel Island, FL |
| Period | 3/19/09 → 3/21/09 |
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Software
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Cite this
Duran, N. D., Crossley, S., Hall, C., McCarthy, P., & McNamara, D. (2009). Expanding a catalogue of deceptive linguistic features with NLP technologies. In Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 (pp. 243-248). (Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22).