Literature DB >> 18925496

Clarifying the linguistic signature: measuring personality from natural speech.

Alex S Cohen1, Kyle S Minor, Lauren E Baillie, Amanda M Dahir.   

Abstract

In this study, we examined the viability of measuring personality using computerized lexical analysis of natural speech. Two well-validated models of personality were measured, one involving trait positive affectivity (PA) and negative affectivity (NA) dimensions and the other involving a separate behavioral inhibition motivational system (BIS) and a behavioral activation motivational system (BAS). Individuals with high levels of trait PA and sensitive BAS expressed high levels of positive emotion in their natural speech, whereas individuals with high levels of trait NA and sensitive BIS tended to express high levels of negative emotion. The personality variables accounted for almost a quarter of the variance in emotional expressivity.

Mesh:

Year:  2008        PMID: 18925496     DOI: 10.1080/00223890802388459

Source DB:  PubMed          Journal:  J Pers Assess        ISSN: 0022-3891


  2 in total

1.  "R U Mad?": Computerized text analysis of affect in social media relates to stress and substance use among ethnic minority emerging adult males.

Authors:  Alethea Desrosiers; Vera Vine; Trace Kershaw
Journal:  Anxiety Stress Coping       Date:  2018-10-29

2.  In Search of State and Trait Emotion Markers in Mobile-Sensed Language: Field Study.

Authors:  Chiara Carlier; Koen Niemeijer; Merijn Mestdagh; Michael Bauwens; Peter Vanbrabant; Luc Geurts; Toon van Waterschoot; Peter Kuppens
Journal:  JMIR Ment Health       Date:  2022-02-11
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.