Modeling personality language use with small semantic vector subspaces
PERSONALITY AND INDIVIDUAL DIFFERENCES(2024)
摘要
•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
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