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- Title
What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions.
- Authors
Betancourt, Ángel-Armando; Guasch, Marc; Ferré, Pilar
- Abstract
Past research that distinguishes between affective and neutral words has predominantly relied on two-dimensional models of emotion focused on valence and arousal. However, these two dimensions cannot differentiate between emotion-label words (e.g., fear) and emotion-laden words (e.g., death). In the current study, we aimed to determine the unique affective characteristics that differentiate emotion-label, emotion-laden, and neutral words. Therefore, apart from valence and arousal, we considered different affective features of multicomponential models of emotion: action, assessment, expression, feeling, and interoception. The study materials included 800 Spanish words (104 emotionlabel words, 340 emotion-laden words, and 356 neutral words). To examine the differences between each word type, we carried out a Principal Component Analysis and a Random Forest Classifier technique. Our results indicate that these words are characterized more precisely when the two-dimensional approach is combined with multi-componential models. Specifically, our analyses revealed that feeling, interoception and valence are key features in accurately differentiating between emotion-label, emotion-laden, and neutral words.
- Subjects
INTEROCEPTION; PRINCIPAL components analysis; AFFECT (Psychology); RANDOM forest algorithms; TWO-dimensional models; EMOTIONS
- Publication
Frontiers in Psychology, 2024, p1
- ISSN
1664-1078
- Publication type
Article
- DOI
10.3389/fpsyg.2024.1308421