What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1308421/full |
| _version_ | 1797348609391329280 |
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| author | Ángel-Armando Betancourt Marc Guasch Pilar Ferré |
| author_facet | Ángel-Armando Betancourt Marc Guasch Pilar Ferré |
| author_sort | Ángel-Armando Betancourt |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T12:07:44Z |
| format | Article |
| id | doaj.art-6b431ea3ad5e42d5a152448f42a641a5 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-03-08T12:07:44Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-6b431ea3ad5e42d5a152448f42a641a52024-01-23T04:26:08ZengFrontiers Media S.A.Frontiers in Psychology1664-10782024-01-011510.3389/fpsyg.2024.13084211308421What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotionsÁngel-Armando BetancourtMarc GuaschPilar FerréPast 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.https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1308421/fullemotion-label wordsemotion-laden wordscomponent process modelrandom forestvalencefeeling |
| spellingShingle | Ángel-Armando Betancourt Marc Guasch Pilar Ferré What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions Frontiers in Psychology emotion-label words emotion-laden words component process model random forest valence feeling |
| title | What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions |
| title_full | What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions |
| title_fullStr | What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions |
| title_full_unstemmed | What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions |
| title_short | What distinguishes emotion-label words from emotion-laden words? The characterization of affective meaning from a multi-componential conception of emotions |
| title_sort | what distinguishes emotion label words from emotion laden words the characterization of affective meaning from a multi componential conception of emotions |
| topic | emotion-label words emotion-laden words component process model random forest valence feeling |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1308421/full |
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