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© 2025. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Introduction: Emotion detection in written text is critical for applications in human-computer interaction, affective computing, and personalized content recommendation. Traditional approaches to emotion detection primarily leverage textual features, using natural language processing techniques such as sentiment analysis, which, while effective, may miss subtle nuances of emotions. These methods often fall short in recognizing the complex, multimodal nature of human emotions, as they ignore physiological cues that could provide richer emotional insights.

Details

Title
Cross-modality fusion with EEG and text for enhanced emotion detection in English writing
Author
Wang, Jing; Zhang, Ci
Section
ORIGINAL RESEARCH article
Publication year
2025
Publication date
Jan 17, 2025
Publisher
Frontiers Research Foundation
e-ISSN
16625218
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3156655426
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.