Modeling personality language use with small semantic vector subspaces

•Semantic vector subspaces can extract personality trait-relevant semantic properties•Our method generates observable semantic indicators of the Big Five from language•Our findings partially support the well-known lexical hypothesis of personality•There are different groups or patterns of personalit...

Full description

Saved in:
Bibliographic Details
Published in:Personality and individual differences 2024-03, Vol.219, p.112514, Article 112514
Main Authors: Martínez-Huertas, José Ángel, Jorge-Botana, Guillermo, Martínez-Mingo, Alejandro, Moreno, José David, Olmos, Ricardo
Format: Article
Language:English
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•Semantic vector subspaces can extract personality trait-relevant semantic properties•Our method generates observable semantic indicators of the Big Five from language•Our findings partially support the well-known lexical hypothesis of personality•There are different groups or patterns of personality language use•There are differences in the way people express their personality in language
ISSN:0191-8869
1873-3549
DOI:10.1016/j.paid.2023.112514