Using linguistic cues for the automatic recognition of personality in conversation and text
Open accessAbstract
It is well known that utterances convey a great deal of information about the speaker in addition to their semantic content. One such type of information consists of cues to the speaker's personality traits, the most fundamental dimension of variation between humans. Recent work explores the automatic detection of other types of pragmatic variation in text and conversation, such as emotion, deception, speaker charisma, dominance, point of view, subjectivity, opinion and sentiment. Personality affects these other aspects of linguistic production, and thus personality recognition may be useful for these tasks, in addition to many other potential applications. However, to date, there is little work on the automatic recognition of personality traits. This article reports experimental results for recognition of all Big Five personality traits, in both conversation and text, utilising both self and observer ratings of personality. While other work reports classification results, we experiment with classification, regression and ranking models. For each model, we analyse the effect of different feature sets on accuracy. Results show that for some traits, any type of statistical model performs significantly better than the baseline, but ranking models perform best overall. We also present an experiment suggesting that ranking models are more accurate than multi-class classifiers for modelling personality. In addition, recognition models trained on observed personality perform better than models trained using self-reports, and the optimal feature set depends on the personality trait. A qualitative analysis of the learned models confirms previous findings linking language and personality, while revealing many new linguistic markers.
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When personality scores are discretized into high/low categories, the classification accuracy is in similar ranges to prior literature.
“When we do such an approach, our scores are in similar ranges to such literature: to classification accuracy.”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [64]
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Cites
Data Mining: Practical Machine Learning Tools and Techniques
Witten, I. H., Frank, E., & Hall, M. A. (2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,493 · see citing works
Witten, I. H. (2008) · Cited by 9,115 · see citing works
(1999) · Cited by 7,995 · see citing works
An alternative "description of personality": The Big-Five factor structure.
Goldberg, L. R. (1990) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.59.6.1216 · Cited by 6,652 · see citing works
Variation across Speech and Writing
Biber, D. (1988) · doi:10.1017/cbo9780511621024 · Cited by 5,227 · see citing works
Handbook of Personality : Theory and Research
Pervin, L. A. (1992) · Cited by 4,543 · see citing works
Praat, a system for doing phonetics by computer
Boersma, P. (2002) · UvA-DARE (University of Amsterdam) · Cited by 4,417 · see citing works
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
Peter, P., & Turney (2002) · Cited by 3,646 · see citing works
Perception and the Representative Design of Psychological Experiments
Brunswik, E. (1956) · doi:10.1525/9780520350519 · Cited by 2,974 · see citing works
Norman, W. (1963) · Journal of Abnormal & Social Psychology · doi:10.1037/h0040291 · Cited by 2,653 · see citing works
Psychological Aspects of Natural Language Use: Our Words, Our Selves
Pennebaker, J. W., Mehl, M. R., & Niederhoffer, K. G. (2003) · Annual Review of Psychology · doi:10.1146/annurev.psych.54.101601.145041 · Cited by 2,624 · see citing works
Self-citationThe MRC Psycholinguistic Database
Coltheart, M. (1981) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640748108400805 · Cited by 2,484 · see citing works
Turney, P. D. (2001) · Annual Meeting of the Association for Computational Linguistics (ACL) · doi:10.3115/1073083.1073153 · Cited by 2,354 · see citing works
Pang, B., & Lee, L. (2005) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.3115/1219840.1219855 · Cited by 2,153 · see citing works
Vocal communication of emotion: A review of research paradigms
Scherer, K. (2003) · Speech Communication · doi:10.1016/s0167-6393(02)00084-5 · Cited by 2,044 · see citing works
Trait-names: A psycho-lexical study.
Allport, G. W., & Odbert, H. S. (1936) · Psychological Monographs · doi:10.1037/h0093360 · Cited by 2,018 · see citing works
Linguistic styles: language use as an individual difference
Pennebaker, J. W., & King, L. A. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.77.6.1296 · Cited by 1,961 · see citing works
Extracting product features and opinions from reviews
Popescu, A.-M., & Etzioni, O. (2005) · doi:10.3115/1220575.1220618 · Cited by 1,714 · see citing works
Personality and Transformational and Transactional Leadership: A Meta-Analysis.
Bono, J. E., & Judge, T. A. (2004) · Journal of Applied Psychology · doi:10.1037/0021-9010.89.5.901 · Cited by 1,566 · see citing works
Lying Words: Predicting Deception from Linguistic Styles
Newman, M. L., Pennebaker, J. W., Berry, D. S., & Richards, J. M. (2003) · Personality and Social Psychology Bulletin · doi:10.1177/0146167203029005010 · Cited by 1,441 · see citing works
On the accuracy of personality judgment: A realistic approach
Funder, D. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.4.652 · Cited by 1,342 · see citing works
What we know about leadership: Effectiveness and personality.
Hogan, R. T., Curphy, G. J., & Hogan, J. C. (1994) · American Psychologist · doi:10.1037//0003-066x.49.6.493 · Cited by 1,310 · see citing works
A brief introduction to boosting
Schapire, R. E. (1999) · Cited by 1,301 · see citing works
Watson, D., & Clark, L. A. (1992) · Journal of Personality · doi:10.1111/j.1467-6494.1992.tb00980.x · Cited by 1,154 · see citing works
Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
Stolcke, A., Ries, K., Coccaro, N., Shriberg, E. E., Bates, R. A., Jurafsky, D. S., Taylor, P., Martin, R., Ess-Dykema, C. V., & Meteer, M. W. (2000) · Computational Linguistics · doi:10.1162/089120100561737 · Cited by 1,112 · see citing works
Large Margin Rank Boundaries for Ordinal Regression
Herbrich, R., Graepel, T., & Obermayer, K. (2000) · The MIT Press eBooks · doi:10.7551/mitpress/1113.003.0010 · Cited by 1,086 · see citing works
What we know about leadership: Effectiveness and personality.
Hogan, R. T., Curphy, G. J., & Hogan, J. C. (1994) · American Psychologist · doi:10.1037/0003-066x.49.6.493 · Cited by 948 · see citing works
Dimensions of personality: 16, 5 or 3?—Criteria for a taxonomic paradigm
Eysenck, H. J. (1991) · Personality and Individual Differences · doi:10.1016/0191-8869(91)90144-z · Cited by 848 · see citing works
An Efficient Boosting Algorithm for Combining Preferences
Freund, Y., Iyer, R. D., Schapire, R. E., & Singer, Y. (1998) · Cited by 806 · see citing works
Mehl, M. R., Gosling, S. D., & Pennebaker, J. W. (2006) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.90.5.862 · Cited by 764 · see citing works
Self-citationWiebe, J., Wilson, T., Bruce, R., Bell, M., & Martin, M. (2004) · Computational Linguistics · doi:10.1162/0891201041850885 · Cited by 748 · see citing works
Pang, B., & Lee, L. (2005) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0506075 · Cited by 744 · see citing works
(1983) · PubMed · Cited by 734 · see citing works
Attraction as a linear function of proportion of positive reinforcements.
Byrne, D., & Nelson, D. A. (1965) · Journal of Personality and Social Psychology · doi:10.1037/h0022073 · Cited by 679 · see citing works
Handbook of Language and Social Psychology
Myers‐Scotton, C., Giles, H., & Robinson, W. P. (1992) · Language · doi:10.2307/416867 · Cited by 672 · see citing works
Edwards, A. L. (1953) · Journal of Applied Psychology · doi:10.1037/h0058073 · Cited by 618 · see citing works
Creating Subjective and Objective Sentence Classifiers from Unannotated Texts
Wiebe, J., & Riloff, E. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-30586-6_53 · Cited by 547 · see citing works
Nass, C., & Lee, K. M. (2001) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.7.3.171 · Cited by 522 · see citing works
Some determinants of factor structures from personality-trait descriptors.
Peabody, D., & Goldberg, L. R. (1989) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.57.3.552 · Cited by 498 · see citing works
Extracting Product Features and Opinions from Reviews
Popescu, A.-M., & Etzioni, O. (2007) · Springer eBooks · doi:10.1007/978-1-84628-754-1_2 · Cited by 494 · see citing works
Mehl, M. R., Pennebaker, J. W., Crow, D., Dabbs, J. M., & Price, J. H. (2001) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195410 · Cited by 454 · see citing works
Self-citationWhat Is Beyond the Big Five? Plenty!
Paunonen, S. V., & Jackson, D. N. (2000) · Journal of Personality · doi:10.1111/1467-6494.00117 · Cited by 454 · see citing works
Just how mad are you? finding strong and weak opinion clauses
Wilson, T., Wiebe, J., & Hwa, R. (2004) · Cited by 434 · see citing works
The Big Five and enduring marriages
Donnellan, M. B., Conger, R. D., & Bryant, C. M. (2004) · Journal of Research in Personality · doi:10.1016/j.jrp.2004.01.001 · Cited by 372 · see citing works
The relationship between the big five personality traits and academic motivation
Komarraju, M., & Karau, S. J. (2005) · Personality and Individual Differences · doi:10.1016/j.paid.2005.02.013 · Cited by 368 · see citing works
Extraversion: The Unloved Variable in Applied Linguistic Research
Dewaele, J., & Furnham, A. F. (1999) · Language Learning · doi:10.1111/0023-8333.00098 · Cited by 332 · see citing works
Behavioral manifestations of personality: An ecological approach to judgmental accuracy.
Funder, D. C., & Sneed, C. D. (1993) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.64.3.479 · Cited by 299 · see citing works
Fast, L. A., & Funder, D. C. (2008) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.94.2.334 · Cited by 292 · see citing works
Identifying expressions of opinion in context
Breck, E. J., Choi, Y., & Cardie, C. (2007) · International Joint Conference on Artificial Intelligence · Cited by 276 · see citing works
Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents
Cassell, J., & Bickmore, T. (2003) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1024026532471 · Cited by 253 · see citing works
Behavioral manifestations of personality: An ecological approach to judgmental accuracy.
Funder, D. C., & Sneed, C. D. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.64.3.479 · Cited by 236 · see citing works
A Personalized System for Conversational Recommendations
Thompson, C. A., Goker, M. H., & Langley, P. (2004) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1318 · Cited by 223 · see citing works
Walker, M. A., & Whittaker, S. (1990) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.3115/981823.981833 · Cited by 222 · see citing works
Self-citationOberlander, J., & Nowson, S. (2006) · International Conference on Computational Linguistics and Annual Meeting of the Association for Computational Linguistics (COLING/ACL) · doi:10.3115/1273073.1273154 · Cited by 211 · see citing works
Effects of Speech Rate on Personality Perception
Smith, B. L., Brown, B. L., Strong, W. J., & Rencher, A. C. (1975) · Language and Speech · doi:10.1177/002383097501800203 · Cited by 208 · see citing works
Integrating Models of Personality and Emotions into Lifelike Characters
André, E., Klesen, M., Gebhard, P., Allen, S., & Rist, T. (2000) · Lecture notes in computer science · doi:10.1007/10720296_11 · Cited by 192 · see citing works
Variation in the Contextuality of Language: An Empirical Measure
Heylighen, F., & Dewaele, J. (2002) · Foundations of Science · doi:10.1023/a:1019661126744 · Cited by 184 · see citing works
Distinguishing deceptive from non-deceptive speech
Hirschberg, J., Stefan Benus, A., Brenier, J., Enos, F., Friedman, S., Gilman, S., Girand, C., Graciarena, M., Kathol, A., Michaelis, L., et al. (2005) · Interspeech (USB) · doi:10.21437/interspeech.2005-580 · Cited by 160 · see citing works
Personality, learning style and work performance
Furnham, A. F., Jackson, C. J., & Miller, T. (1999) · Personality and Individual Differences · doi:10.1016/s0191-8869(99)00053-7 · Cited by 150 · see citing works
PERSONAGE: Personality Generation for Dialogue
Mairesse, F., & Walker, M. A. (2007) · Cited by 148 · see citing works
Self-citationPerception and the Representative Design of Psychological Experiments
Brunswik, E. (2023) · University of California Press eBooks · doi:10.2307/jj.8501445 · Cited by 138 · see citing works
Multi-perspective question answering using the OpQA corpus
Stoyanov, V., Cardie, C., & Wiebe, J. (2005) · doi:10.3115/1220575.1220691 · Cited by 136 · see citing works
Oberlander, J., & Gill, A. J. (2006) · Discourse Processes · doi:10.1207/s15326950dp4203_1 · Cited by 133 · see citing works
Achieving Affective Impact: Visual Emotive Communication in Lifelike Pedagogical Agents
Lester, J. C., Towns, S., & Fitzgerald, P. (1998) · Cited by 132 · see citing works
Walker, M. A., Cahn, J. E., & Whittaker, S. (1997) · doi:10.1145/267658.267680 · Cited by 126 · see citing works
Self-citationTaking Care of the Linguistic Features of Extraversion
Gill, A. J., & Oberlander, J. (2019) · Routledge eBooks · doi:10.4324/9781315782379-99 · Cited by 110 · see citing works
Furnham, A. F. (1990) · Cited by 110 · see citing works
Distinguishing Deceptive from Non-Deceptive Speech
Hirschberg, J., Stefan Benus, A., Brenier, J., Enos, F., Friedman, S., Gilman, S., Girand, C., Graciarena, M., Kathol, A., Michaelis, L. A., et al. (2005) · doi:10.7916/d8697c06 · Cited by 106 · see citing works
Is antisocial personality disorder continuous or categorical? A taxometric analysis
Marcus, D. K., Lilienfeld, S. O., Edens, J. F., & Poythress, N. G. (2006) · Psychological Medicine · doi:10.1017/s0033291706008245 · Cited by 104 · see citing works
Acoustic/prosodic and lexical correlates of charismatic speech
Rosenberg, A., & Hirschberg, J. (2005) · Interspeech (USB) · doi:10.21437/interspeech.2005-329 · Cited by 98 · see citing works
Classifying subject ratings of emotional speech using acoustic features
Liscombe, J., Venditti, J. J., & Hirschberg, J. (2003) · European Conference on Speech Communication and Technology (Eurospeech) · doi:10.21437/eurospeech.2003-306 · Cited by 94 · see citing works
Classifying Subject Ratings of Emotional Speech Using Acoustic Features
Liscombe, J., Venditti, J. J., & Hirschberg, J. (2003) · doi:10.7916/d8f76mwv · Cited by 90 · see citing works
Detecting Arguing and Sentiment in Meetings
Somasundaran, S., Ruppenhofer, J., & Wiebe, J. (2007) · SIGdial Workshop on Discourse and Dialogue (SIGDIAL) · doi:10.18653/v1/2007.sigdial-1.5 · Cited by 88 · see citing works
Lexical Predictors Of Personality Type
Argamon, S., Dhawle, S., Koppel, M., et al. (2005) · Cited by 88 · see citing works
Natural Language Processing and User Modeling: Synergies and Limitations
Zukerman, I., & Litman, D. J. (2001) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1011174108613 · Cited by 81 · see citing works
Automatic recognition of personality in conversation
Mairesse, F., & Walker, M. (2006) · doi:10.3115/1614049.1614071 · Cited by 79 · see citing works
Self-citationCombining Prosodic Lexical and Cepstral Systems for Deceptive Speech Detection
Graciarena, M., Shriberg, E. E., Stolcke, A., Enos, F., Hirschberg, J., & Kajarekar, S. S. (2006) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2006.1660200 · Cited by 79 · see citing works
Dominance Detection in Meetings Using Easily Obtainable Features
Rienks, R., & Heylen, D. (2006) · Lecture notes in computer science · doi:10.1007/11677482_7 · Cited by 77 · see citing works
Words Mark the Nerds: Computational Models of Personality Recognition through Language
Mairesse, F. ̧., & Walker, M. (2006) · eScholarship (California Digital Library) · Cited by 75 · see citing works
Self-citationAccessing Multimodal Meeting Data: Systems, Problems and Possibilities
Tucker, S., & Whittaker, S. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-30568-2_1 · Cited by 72 · see citing works
Personality, needs, social skills and academic achievement: A longitudinal study
Furnham, A. F., & Mitchell, J. (1991) · Personality and Individual Differences · doi:10.1016/0191-8869(91)90036-b · Cited by 66 · see citing works
Identifying more bloggers Towards large scale personality classification of personal weblogs
Nowson, S., & Oberlander, J. (2007) · Cited by 65 · see citing works
A possible basis for the association of voice characteristics and personality traits
Mallory, E. B., & Miller, V. R. (1958) · Speech Monographs · doi:10.1080/03637755809375240 · Cited by 65 · see citing works
Sigurðsson, J. F. (1991) · Personality and Individual Differences · doi:10.1016/0191-8869(91)90259-e · Cited by 56 · see citing works
Personality factors in human deception detection: comparing human to machine performance
Enos, F., Beňuš, Š., Cautin, R. L., et al. (2006) · Interspeech (USB) · doi:10.21437/interspeech.2006-278 · Cited by 49 · see citing works
Personality Factors in Human Deception Detection: Comparing Human to Machine Performance
Hirschberg, J., Enos, F., Beňuš, Š., et al. (2006) · doi:10.7916/d85146pw · Cited by 48 · see citing works
Gill, A. J., & Oberlander, J. (2003) · eScholarship (California Digital Library) · Cited by 42 · see citing works
Mixed Initiative in Dialogue: An Investigation into Discourse SegmentationPreprint
Walker, M. A., & Whittaker, S. (1995) · arXiv (Cornell University) · doi:10.48550/arxiv.cmp-lg/9504007 · Cited by 41 · see citing works
Self-citationGill, A. J. (2004) · ERA · Cited by 36 · see citing works
A Plan-Based Model for Response Generation in Collaborative Task-Oriented DialoguesPreprint
Chu‐Carroll, J., & Carberry, S. (1994) · arXiv (Cornell University) · doi:10.48550/arxiv.cmp-lg/9405011 · Cited by 34 · see citing works
Deception and Deception Detection: The Role of Cross‐Modal Inconsistency
Heinrich, C. U., & Borkenau, P. (1998) · Journal of Personality · doi:10.1111/1467-6494.00029 · Cited by 31 · see citing works
The Politeness Effect: Pedagogical Agents and Learning Gains
Wang, N., Johnson, W. L., Mayer, R. E., Rizzo, P., Shaw, E., & Collins, H. T. (2005) · Cited by 29 · see citing works
Error Analysis of Dialogue Act Classification
Webb, N., Hepple, M., & Wilks, Y. A. (2005) · Lecture notes in computer science · doi:10.1007/11551874_58 · Cited by 29 · see citing works
Personality and deception ability
Riggio, R. E., Salinas, C., & Tucker, J. S. (1988) · Personality and Individual Differences · doi:10.1016/0191-8869(88)90050-5 · Cited by 29 · see citing works
Improvising Linguistic Style: Social and Affective Bases for Agent PersonalityPreprint
Walker, M. A., Cahn, J. E., & Whittaker, S. (1997) · arXiv (Cornell University) · doi:10.48550/arxiv.cmp-lg/9702015 · Cited by 23 · see citing works
Self-citationPersonality perception: A developmental study
McLarney-Vesotski, A. R., Bernieri, F. J., & Rempala, D. M. (2005) · Journal of Research in Personality · doi:10.1016/j.jrp.2005.07.001 · Cited by 22 · see citing works
Variation in the Contextuality of Language: An Empirical Measure
Heylighen, F., & Dewaele, J.-M. (1998) · BIROn (Birkbeck, University of London) · Cited by 19 · see citing works
Contextual Influences on Near-Synonym Choice
Reiter, E., & Sripada, S. G. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-27823-8_17 · Cited by 17 · see citing works
Oberlander, J., & Gill, A. J. (2004) · Cited by 16 · see citing works
Personality Variables Associated with Productivity and Verbal Fluency in the Initial Interview
Siegman, A. W., & Pope, B. (1965) · PsycEXTRA Dataset · doi:10.1037/e469432008-136 · Cited by 15 · see citing works
Rushton, J. P., Murray, H. G., & Erdle, S. (1987) · Personality and Individual Differences · doi:10.1016/0191-8869(87)90011-0 · Cited by 14 · see citing works
Nunn, S. (2005) · Journal of Homeland Security and Emergency Management · doi:10.2202/1547-7355.1137 · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- Mishne, G. (2005). Experiments with mood classification in blog posts. In Proceedings of ACM SIGIR 2005 Workshop on Stylistic Analysis of Text for Information Access.
- Oudeyer, P.-Y. (2002). Novel useful features and algorithms for the recognition of emotions in speech. In Proceedings of the 1st International Conference on Speech Prosody, pp. 547-550.
- Reeves, B., & Nass, C. (1996). The Media Equation. University of Chicago Press.
- Scherer, K. R. (1979). Personality markers in speech. In Scherer, K. R., & Giles, H. (Eds.), Social markers in speech, pp. 147-209. Cambridge University Press.
- Vogel, K., & Vogel, S. (1986). L'interlangue et la personalité de l'apprenant. International Journal of Applied Linguistics, 24 (1), 48-68.
Cited by
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Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Dziurzynski, L., Ramones, S. M., Agrawal, M., Shah, A., Kosinski, M., Stillwell, D., Seligman, M. E. P., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073791 · Cited by 1,700 · see citing works
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Ott, M., Choi, Y., Cardie, C., & Hancock, J. T. (2011) · arXiv · doi:10.48550/arxiv.1107.4557 · Cited by 1,008 · see citing works
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Making conversations with chatbots more personalized
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The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs
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Abadi, M. K., Correa, J. A. M., Wache, J., Yang, H., Patras, I., & Sebe, N. (2015) · 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) · doi:10.1109/fg.2015.7163100 · Cited by 36 · see citing works
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
Wang, H., Wang, R., Mi, F., Deng, Y., Wang, Z., Liang, B., Xu, R., & Wong, K.-F. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023 · doi:10.18653/v1/2023.findings-emnlp.806 · Cited by 38 · see citing works
- Authors
- Mairesse, F., Walker, M. A., Mehl, M. R., & Moore, R. K.
- Affiliations
- University of Sheffield (GB)
- University of Arizona (US)
- Venue
- Journal of Artificial Intelligence Research
- Publisher
- AI Access Foundation
- Published
- 2007-11-28
- Volume
- 30
- Pages
- 457-500
- ISSN
- 1076-9757 (ISSN-L)
- OpenAlex
- W2423024114
- Cited by
- 1,046
- References
- 102
- Citations by year
- 2026: 83 · 2025: 52 · 2024: 66 · 2023: 59 · 2022: 78 · 2021: 96 · 2020: 79 · 2019: 74 · 2018: 66 · 2017: 63 · 2016: 58 · 2015: 48 · 2014: 55 · 2013: 57 · 2012: 44
- FWCI
- 13.42
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Artificial Intelligence Research (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- personality recognition, Big Five personality traits, linguistic cues, conversation analysis, text analysis, self-report, observer ratings, ranking models, regression models, multi-class classification, feature sets, language and personality, pragmatic variation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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