Decoding the mind of self-compassion through a topic modeling analysis of 9000+ free-text narratives.

ABSTRACT: Self-compassion, defined as compassion directed toward oneself in difficult situations, has been widely studied; however, the specific cognitive and behavioral patterns associated with it remain poorly understood. Participants (780 Japanese individuals; mean age = 43.0, SD = 10.6, range = 19-75) responded to 12 free-text prompts asking them to describe their typical thoughts and behaviors in three difficult situations (suffering, recognizing personal shortcomings, and experiencing failure). Employing structural topic modeling (one of the natural language processing techniques), we used participants' scores on the Self-Compassion Scale (SCS) and the Compassionate Engagement and Action Scales (CEAS) as metadata to quantify the associations between self-compassion and each topic. The results

SUBMITTER: Okano H 

PROVIDER: S-EPMC12540829 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature