Spanish Emotion Recognition Method Based on Cross-Cultural Perspective
Liang, Lin (Xiamen University. College of Foreign Languages and Cultures)
Wang, Shasha (Universitat Autònoma de Barcelona)

Data:	2022
Resum:	Linguistic communication is an important part of the cross-cultural perspective, and linguistic textual emotion recognition is a key massage in interpersonal communication. Spanish is the second largest language system in the world. The purpose of this paper is to identify the emotional features in Spanish texts. The improved BiLSTM framework is proposed. We select three widely used Spanish dictionaries as the datasets for our experiments, and then we finally obtain text sentiment classification results through text preprocessing, text emotion feature extraction, text topic detection, and emotion classification. We inserted the attention mechanism in the improved BiLSTM framework. It enables the shared feature encoder to obtain weighted representation results in the extraction of emotion features, which enhances the generalization ability of the model for text emotion feature recognition. Experimental results demonstrate that our approach performs better for specialized Spanish dictionary datasets. In terms of emotion recognition accuracy, the average value is as high as 76. 21%. The overall performance outperforms current comparable machine learning methods and convolutional neural network methods.
Nota:	Ajuts: This work was supported by Fujian Social Science Fund: A European Perspective on 16th Century Fujian and Taiwan: Martin de Rada's Things of Taybin (1575) (FJ2021B115) and Xiamen University Research Fund: Study of Translationoriented Terminology Work in Spanish and Chinese Context (ZK1105/0650).
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Emotion recognition ; Text processing ; Natural language processing ; BiLSTM ; Spanish ; Cross-cultural
Publicat a:	Frontiers in psychology, Vol. 13 (may 2022) , ISSN 1664-1078

DOI: 10.3389/fpsyg.2022.849083
PMID: 35712164

10 p, 2.2 MB

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