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Deep lexical hypothesis

Identifying personality structure in natural language

Bibliographic Data

ID6205568
AuthorsAndrew D Cutler (0000-0002-6616-8522, Boston University), David M Condon (0000-0002-8406-783X, University of Oregon, corresponding author)
Year2023
Volume125
Issue1
Pages173-197
Publication date2023-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Personality and Social Psychology (JOURNAL)
Journal identifiersISSN: 0022-3514 • E-ISSN: 1939-1315
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/pspp0000443
PMID36395036
OpenAlexW4309267672
LanguageEN
Citations received15
References cited66

Recent advances in natural language processing (NLP) have produced general models that can perform complex tasks such as summarizing long passages and translating across languages. Here, we introduce a method to extract adjective similarities from language models as done with survey-based ratings in traditional psycholexical studies but using millions of times more text in a natural setting. The correlational structure produced through this method is highly similar to that of self- and other-ratings of 435 English terms reported by Saucier and Goldberg (1996a). The first three unrotated factors produced using NLP are congruent with those in survey data, with coefficients of 0.89, 0.79, and 0.79. This structure is robust to many modeling decisions: adjective set, including those with 1,710 (Goldberg, 1982) and 18,000 English terms (Allport & Odbert, 1936); the query used to extract correlations; and language model. Notably, Neuroticism and Openness are only weakly and inconsistently recovered. This is a new source of signal that is closer to the original (semantic) vision of the lexical hypothesis. The method can be applied where surveys cannot: in dozens of languages simultaneously, with tens of thousands of items, on historical text, and at extremely large scale for little cost. The code is made public to facilitate reproduction and fast iteration in new directions of research. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Adjective · Cognition · Cognitive psychology · Linguistics · Natural language · Natural language processing · Neuroticism · Noun · Personality · Psycholinguistics · PsycINFO · Set (abstract data type) · Artificial Intelligence · Computer Science · Mental Health Research Topics · Personality Traits and Psychology · Psychology · Social Psychology

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Unique citing works15
Citations per year7,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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