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Automatic personality trait recognition has attracted increasing interest in psychology, neuropsychology, and computer science, etc. Motivated by the great success of deep learning methods in various tasks, a variety of deep neural networks have increasingly been employed to learn high-level feature representations for automatic personality trait recognition. This paper systematically presents a comprehensive survey on existing personality trait recognition methods from a computationaldoi:10.3389/fpsyg.2022.839619 pmid:35645923 pmcid:PMC9136483 fatcat:5eh2ohzjwff5jb4yjn6rzrw5ye