A multivariate regression approach to personality impression recognition of vloggers

WCPR 2014 - Proceedings of the 2014 Workshop on Computational Personality Recognition, Workshop of MM 2014

Volumn , Issue , 2014, Pages 1-6

  Farnadi, Golnoosh ^a,d   Sushmita, Shanu ^b   Sitaraman, Geetha ^b   Ton, Nhat ^b   De Cock, Martine ^b   Davalos, Sergio ^c  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF WASHINGTON   (United States)

^c University of Washington Tacoma   (United States)

^d UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Big five personality model; Multimodal personality recognition; Multivariate re gression; Personality impression prediction; YouTube vlog data

Indexed keywords

FORECASTING;

AUDIO VIDEOS; BASELINE MODELS; MULTI-MODAL; MULTIVARIATE RE- GRESSION; PERSONALITY MODELING; PERSONALITY RECOGNITION; PERSONALITY TRAITS; YOUTUBE;

REGRESSION ANALYSIS;

EID: 84916641180     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2659522.2659526     Document Type: Conference Paper

References (18)

1. Y. Bachrach, M. Kosinski, T. Graepel, P. Kohli, and D. Stillwell. Personality and patterns of Facebook usage. In Proc. of ACM Web Science, pages 24-32, 2012.
2. Y. Bachrach, M. Kosinski, T. Graepel, P. Kohli, and D. Stillwell. Personality and patterns of facebook usage. In Proceedings of the 4th Annual ACM Web Science Conference, pages 24-32. ACM, 2012.
3. S. Bai, B. Hao, A. Li, S. Yuan, R. Gao, and T. Zhu. Predicting Big Five personality traits of microblog users. In Proc. of IEEE/WIC/ACM WI-IAT, volume 1, pages 501-508, 2013.
4. J.-I. Biel and D. Gatica-Perez. The YouTube lens: Crowdsourced personality impressions and audiovisual analysis of vlogs. IEEE Transactions on Multimedia, 15(1):41-55, 2013.
5. G. Chittaranjan, J. Blom, and D. Gatica-Perez. Mining large-scale smartphone data for personality studies. Personal and Ubiquitous Computing, 17(3):433-450, 2013.
6. G. Farnadi, G. Sitaraman, M. Rohani, M. Kosinski, D. Stillwell, M. Moens, S. Davalos, and M. De Cock. How are you doing? Emotions and personality in Facebook. In Proc. of EMPIRE, pages 45-56, 2014.
7. G. Farnadi, S. Zoghbi, M. Moens, and M. De Cock. Recognising personality traits using Facebook status updates. In Proc. of WCPR, pages 14-18, 2013.
8. A. J. Gill, S. Nowson, and J. Oberlander. What are they blogging about? Personality, topic and motivation in blogs. In Proc. of ICWSM, 2009.
9. R. Hu and P. Pu. Enhancing collaborative filtering systems with personality information. In Proc. of ACM RecSys, pages 197-204, 2011.
10. F. Iacobelli and A. Culotta. Too Neurotic, Not Too Friendly: Structured Personality Classification on Textual Data. In Proc of Workshop on Computational Personality Recognition, AAAI Press, Melon Park, CA, pages 19-22, 2013.
11. O. P. John and S. Srivastava. The Big Five trait taxonomy: History, measurement, and theoretical perspectives. Handbook of Personality: Theory and Research, 2:102-138, 1999.
12. D. Kocev, C. Vens, J. Struyf, and S. Dzeroski. Ensembles of multi-objective decision trees. In Proc. of ECML, pages 624-631, 2007.
13. M. Kosinski, D. Stillwell, and T. Graepel. Private traits and attributes are predictable from digital records of human behavior. Proceedings of the PNAS, 110(15):5802-5805, 2013.
14. S. Mohammad, X. Zhu, and J. Martin. Semantic role labeling of emotions in tweets. In Proc. of WASSA, pages 32-41, 2014.
15. J. Oberlander and S. Nowson. Whose thumb is it anyway?: Classifying author personality from weblog text. In Proc. of COLING/ACL, pages 627-634, 2006.
16. R. D. Oliveira, M. Cherubini, and N. Oliver. Influence of personality on satisfaction with mobile phone services. TOCHI, 20(2), 2013.
17. J. Pennebaker and M. Francis. Linguistic Inquiry and Word Count. Taylor & Francis, 1999.
18. E. S. Xioufis, W. Groves, G. Tsoumakas, and I. P. Vlahavas. Multi-label classification methods for multi-target regression. CoRR, abs/1211.6581, 2012.