Assessing the Big Five Personality Traits with Latent Semantic Analysis

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Authors
  1. Kwantes, P.J.
  2. Derbentseva, N.
  3. Lam, Q.
  4. Vartanian, O.
  5. Marmurek, H.H.C.
Corporate Authors
Defence Research and Development Canada, Toronto Research Centre , Toronto ON (CAN)
Abstract
We tested whether the characteristics of a person`s personality can be assessed by an automated analysis of the semantic content of a person’s written text. Participants completed a questionnaire measuring the, so called, Big Five personality traits. They also composed five short essays in which they were asked to describe what they would do and how they would feel in each of five scenarios designed to invoke the creation of narrative relevant to the Big Five personality traits. Participants’ essays were processed for content by Latent Semantic Analysis (LSA; T. Landauer & S. Dumais, 1997), a model of lexical semantics. We found that LSA could assess individuals on three of the Big Five traits, and we discuss ways to improve such techniques in future work.
Keywords
psychological profiling;automated
Report Number
DRDC-RDDC-2014-P28 — External Literature
Date of publication
14 Jul 2014
Number of Pages
24
DSTKIM No
CA039082
CANDIS No
800155
Format(s):
Electronic Document(PDF)

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