Recent advances in large language models are enabling the computational intelligent analysis of psychology in natural language. Here, the Fill-Mask Association Test (FMAT) is introduced as a novel and integrative method leveraging Masked Language Models to study and measure psychology from a
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Han‐Wu‐Shuang Bao (2024) studied this question.
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