Personality traits on twitter -or- How to get 1,500 personality tests in a week

6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2015 at the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 - Proceedings

Volumn , Issue , 2015, Pages 92-98

  Plank, Barbara ^a   Hovy, Dirk ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; FORECASTING; NATURAL LANGUAGE PROCESSING SYSTEMS;

DATA SAMPLE; LANGUAGE PROCESSING TECHNIQUES; LARGE DATA; LEXICAL FEATURES; PERSONALITY PREDICTIONS; PERSONALITY TESTS; PERSONALITY TRAITS; PREDICTION ACCURACY; SMALL SAMPLES; STATISTICAL NATURAL LANGUAGE PROCESSING;

SOCIAL NETWORKING (ONLINE);

EID: 85093242149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Jalal S Alowibdi, Ugo A Buy, and Philip Yu. 2013. Empirical evaluation of profile characteristics for gender classification on twitter. In Machine Learning and Applications (ICMLA), 2013 12th International Conference on, volume 1, pages 365-369. IEEE.
2. John E Barbuto Jr. 1997. A critique of the myers-briggs type indicator and its operationalization of carl jung's psychological types. Psychological Reports, 80(2):611-625.
3. Rowan Bayne. 1994. The” big five” versus the myers-briggs. PSYCHOLOGIST-LEICESTER-, 7:14-14.
4. Isabel Briggs Myers and Peter Myers. 2010. Gifts differing: Understanding personality type. Nicholas Brealey Publishing.
5. Fabio Celli, Fabio Pianesi, David Stillwell, and Michal Kosinski. 2013. Workshop on computational personality recognition (shared task). In Proceedings of the Workshop on Computational Personality Recognition.
6. Fabio Celli, Bruno Lepri, Joan-Isaac Biel, Daniel Gatica-Perez, Giuseppe Riccardi, and Fabio Pianesi. 2014. The workshop on computational personality recognition 2014. In Proceedings of the ACM International Conference on Multimedia, pages 1245-1246. ACM.
7. Morgane Ciot, Morgan Sonderegger, and Derek Ruths. 2013. Gender inference of twitter users in nonenglish contexts. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, Seattle, Wash, pages 18-21.
8. Jacob Eisenstein, Noah Smith, and Eric Xing. 2011. Discovering sociolinguistic associations with structured sparsity. In Proceedings of ACL.
9. Jacob Eisenstein. 2013. What to do about bad language on the internet. In Proceedings of NAACL.
10. Hege Fromreide, Dirk Hovy, and Anders Søgaard. 2014. Crowdsourcing and annotating NER for Twitter #drift. In LREC.
11. Adrian Furnham. 1996. The big five versus the big four: the relationship between the myers-briggs type indicator (mbti) and neo-pi five factor model of personality. Personality and Individual Differences, 21(2):303 - 307.
12. Valerie Priscilla Goby. 2006. Personality and online/offline choices: Mbti profiles and favored communication modes in a singapore study. CyberPsychology & Behavior, 9(1):5-13.
13. Lewis R Goldberg. 1990. An alternative” description of personality”: the big-five factor structure. Journal of personality and social psychology, 59(6):1216.
14. Joseph Henrich, Steven J Heine, and Ara Norenzayan. 2010. The weirdest people in the world? Behavioral and brain sciences, 33(2-3):61-83.
15. Anders Johannsen, Dirk Hovy, and Anders Søgaard. 2015. Cross-lingual syntactic variation over age and gender. In Proceedings of CoNLL.
16. Kim Luyckx and Walter Daelemans. 2008. Personae: a corpus for author and personality prediction from text. In LREC.
17. Nicolai Meinshausen and Peter Bühlmann. 2010. Stability selection. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 72(4):417-473.
18. Margaret Mitchell, Kristy Hollingshead, and Glen Coppersmith. 2015. Quantifying the language of schizophrenia in social media. In Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality.
19. Dong Nguyen, Noah A Smith, and Carolyn P Rosé. 2011. Author age prediction from text using linear regression. In Proceedings of the 5th ACLHLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities.
20. Scott Nowson and Alastair J Gill. 2014. Look! who's talking?: Projection of extraversion across different social contexts. In Proceedings of the 2014 ACM Multi Media on Workshop on Computational Personality Recognition, pages 23-26. ACM.
21. Greg Park, H Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, David J Stillwell, Michal Kosinski, Lyle H Ungar, and Martin EP Seligman. 2015. Automatic personality assessment through social media language. Journal of Personality and Social Psychology.
22. James W Pennebaker, Matthias R Mehl, and Kate G Niederhoffer. 2003. Psychological aspects of natural language use: Our words, our selves. Annual review of psychology, 54(1):547-577.
23. Daniel Preot ¸iuc-Pietro, Johannes Eichstaedt, Gregory Park, Maarten Sap, Laura Smith, Victoria Tobolsky, Hansen Andrew Schwartz, and Lyle H Ungar. 2015. The role of personality, age and gender in tweeting about mental illnesses. In Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, NAACL.
24. Sara Rosenthal and Kathleen McKeown. 2011. Age prediction in blogs: A study of style, content, and online behavior in pre-and post-social media generations. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pages 763-772. Association for Computational Linguistics.
25. Hansen Andrew Schwartz, Johannes C Eichstaedt, Lukasz Dziurzynski, Margaret L Kern, Eduardo Blanco, Michal Kosinski, David Stillwell, Martin EP Seligman, and Lyle H Ungar. 2013a. Toward personality insights from language exploration in social media. In AAAI Spring Symposium: Analyzing Microtext.
26. Hansen Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, Lukasz Dziurzynski, Stephanie M Ramones, Megha Agrawal, Achal Shah, Michal Kosinski, David Stillwell, Martin EP Seligman, et al. 2013b. Personality, gender, and age in the language of social media: The open-vocabulary approach. PloS one, 8(9).
27. Ben Verhoeven and Walter Daelemans. 2014. CLiPS Stylometry Investigation (CSI) corpus: A Dutch corpus for the detection of age, gender, personality, sentiment and deception in text. In LREC.
28. Svitlana Volkova, Theresa Wilson, and David Yarowsky. 2013. Exploring demographic language variations to improve multilingual sentiment analysis in social media. In Proceedings of EMNLP.
29. Svitlana Volkova, Yoram Bachrach, Michael Armstrong, and Vijay Sharma. 2015. Inferring latent user properties from texts published in social media (demo). In Proceedings of the Twenty-Ninth Conference on Artificial Intelligence (AAAI), Austin, TX, January.