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) |
|---|---|
| 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 - 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 |
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 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Software
Cite this
Expanding a catalogue of deceptive linguistic features with NLP technologies. / Duran, Nicholas; Crossley, Scott; Hall, Charles; McCarthy, Philip; McNamara, Danielle.
Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22. 2009. p. 243-248.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Expanding a catalogue of deceptive linguistic features with NLP technologies
AU - Duran, Nicholas
AU - Crossley, Scott
AU - Hall, Charles
AU - McCarthy, Philip
AU - McNamara, Danielle
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=70350509102&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:70350509102
SN - 9781577354192
SP - 243
EP - 248
BT - Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
ER -