Language or rating scales based classifications of emotions: computational analysis of language and alexithymia.

ABSTRACT: Rating scales are the dominating tool for the quantitative assessment of mental health. They are often believed to have a higher validity than language-based responses, which are the natural way of communicating mental states. Furthermore, it is unclear how difficulties articulating emotions-alexithymia-affect the accuracy of language-based communication of emotions. We investigated whether narratives describing emotional states are more accurately classified by questions-based computational analysis of language (QCLA) compared to commonly used rating scales. Additionally, we examined how this is affected by alexithymia. In Phase 1, participants (N = 348) generated narratives describing events related to depression, anxiety, satisfaction, and harmony. In Phase 2, another set of participant

SUBMITTER: Sikstrom S 

PROVIDER: S-EPMC11291691 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature