Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation - Laboratoire Interdisciplinaire des Sciences du Numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation

Résumé

Emotion regulation is a crucial element in dealing with emotional events and has positive effects on mental health. This paper aims to provide a more comprehensive understanding of emotional events by introducing a new French corpus of emotional narratives collected using a questionnaire for emotion regulation. We follow the theoretical framework of the Component Process Model which considers emotions as dynamic processes composed of four interrelated components (behavior, feeling, thinking and territory). Each narrative is related to a discrete emotion and is structured based on all emotion components by the writers. We study the interaction of components and their impact on emotion classification with machine learning methods and pre-trained language models. Our results show that each component improves prediction performance, and that the best results are achieved by jointly considering all components. Our results also show the effectiveness of pre-trained language models in predicting discrete emotion from certain components, which reveal differences in how emotion components are expressed.
Fichier principal
Vignette du fichier
eacl_paper.pdf (197.87 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04094814 , version 1 (15-05-2023)

Licence

Paternité

Identifiants

Citer

Gustave Cortal, Alain Finkel, Patrick Paroubek, Lina Ye. Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation. LaTeCH-CLfL2023, 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Association for Computational Linguistics, May 2023, Dubrovnik, Croatia. pp.72-81, ⟨10.18653/v1/2023.latechclfl-1.8⟩. ⟨hal-04094814⟩
74 Consultations
19 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More