What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions

被引:3
作者
Betancourt, angel-Armando [1 ,2 ]
Guasch, Marc [1 ,2 ]
Ferre, Pilar [1 ,2 ]
机构
[1] Univ Rovira i Virgili, Dept Psicol, Tarragona, Spain
[2] Univ Rovira i Virgili, CRAMC, Tarragona, Spain
关键词
emotion-label words; emotion-laden words; component process model; random forest; valence; feeling; interoception; LEXICAL DECISION; AFFECTIVE NORMS; NEGATIVE WORDS; CORE AFFECT; VALENCE; AROUSAL; ADAPTATION; ANEW; ERP;
D O I
10.3389/fpsyg.2024.1308421
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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 multi-componential models of emotion: action, assessment, expression, feeling, and interoception. The study materials included 800 Spanish words (104 emotion-label 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.
引用
收藏
页数:12
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