Psychology

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

S. Sikström, M. Nicolai, et al.

Discover groundbreaking research by Sverker Sikström and collaborators on how language-based responses outperform rating scales in classifying emotional states, even amidst challenges posed by alexithymia. Their findings shed light on the nuanced capabilities of narrative emotions.

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Abstract

This study investigated the accuracy of language-based responses analyzed by computational methods versus rating scales in classifying emotional states, considering the impact of alexithymia. Participants generated narratives describing emotions, which were then summarized using words and rating scales. Language-based responses showed higher accuracy in classifying emotional states than rating scales. Alexithymia did not significantly influence classification accuracy based on words or rating scales, but narratives from high-alexithymia individuals were harder to classify.

Publisher

npj Mental Health Research

Published On

Jul 31, 2024

Authors

Sverker Sikström, Miriam Nicolai, Josephine Ahrendt, Suvi Nevanlinna, Lotta Stille

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