Assessing the Big Five personality traits with latent semantic analysis

被引：30

作者：

Kwantes, Peter J. ^{[1
]}

Derbentseva, Natalia ^{[1
]}

Lam, Quan ^{[1
]}

Vartanian, Oshin ^{[1
,2
]}

Marmurek, Harvey H. C. ^{[3
]}

机构：

[1] Def Res & Dev Canada, Toronto, ON, Canada

[2] Univ Toronto Scarborough, Toronto, ON, Canada

[3] Univ Guelph, Guelph, ON N1G 2W1, Canada

来源：

PERSONALITY AND INDIVIDUAL DIFFERENCES | 2016年 / 102卷

关键词：

Personality; Big Five traits; Latent semantic analysis;

D O I：

10.1016/j.paid.2016.07.010

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

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. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.

引用

页码：229 / 233

页数：5

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