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ABSTRACT: Objective
Sleep is a vital component of individual health, and personality traits are key factors influencing it. This study aims to investigate the relationship between personality traits and both modelassessed sleep problems and self-reported sleep quality.Methods
Using deep semantic understanding technology, we developed three deep learning models based on microblogs. Model 1 and Model 2 identified whether a post indicated a sleep problem, while Model 3 assessed the user's personality traits based on the Five-Factor Model (FFM). We surveyed a dataset comprising 336 active users and then applied the models to a large-scale microblog dataset containing 4,860,000 posts from 15,251 users.Results
Our experimental results revealed that: (1) conscientiousness, agreeable
SUBMITTER: Cao L
PROVIDER: S-EPMC12310568 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature