Abstract
Traditional personality psychology has usually relied on in-depth interviews and questionnaires in order to diagnose human personality. In this chapter, I present a procedure in which a psychological questionnaire or inventory is administered to a written text rather than to an individual.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
A. (n.d.). Client “Ma,” session March 24, 2014: Client discusses the strain on her marriage due to mistrust, suicidal tendencies, hospitalizations, and a dependance on therapy. In Counseling and psychotherapy transcripts: Volume II. Alexandria, VA: Alexander Street.
Angeli, G. & Manning, C. D. (2014, October). NaturalLI: Natural logic inference for common sense reasoning. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Doha, Qatar, 25 to 29 October 2014 (pp. 534–545). Stroudsburg, PA: Association for Computational Linguistics.
Bamman, D., O’Connor, B. & Smith, N. A. (2013). Learning latent personas of film characters. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Vol. 1: Long Papers, pp. 352–361). Stroudsburg, PA: Association for Computational Linguistics.
Celli, F., Pianesi, F., Stillwell, D. & Kosinski, M. (2013, June). Workshop on computational personality recognition (shared task). In Proceedings of the Workshop on Computational Personality Recognition. Boston, MA: AAAI Press.
Koppel, M., Schler, J. & Argamon, S. (2011). Authorship attribution in the wild. Language Resources and Evaluation, 45(1), 83–94.
Levenson, M. R., Kiehl, K. A. & Fitzpatrick, C. M. (1995). Assessing psychopathic attributes in a noninstitutionalized population. Journal of Personality and Social Psychology, 68(1), 151–158.
Raskin, R. & Terry, H. (1988). A principal-components analysis of the narcissistic personality inventory and further evidence of its construct validity. Journal of Personality and Social Psychology, 54, 890–902.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Neuman, Y. (2016). Going Beyond Words: How the Sisters of Mercy May Identify Psychopaths. In: Computational Personality Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-42460-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-42460-6_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42458-3
Online ISBN: 978-3-319-42460-6
eBook Packages: Computer ScienceComputer Science (R0)