Cross-modality fusion with EEG and text for enhanced emotion detection in English writing
IntroductionEmotion 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 a...
Saved in:
Main Authors: | Jing Wang, Ci Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2024.1529880/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition
by: Jiawen Li, et al.
Published: (2025-01-01) -
Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals
by: Yan Zhao, et al.
Published: (2024-03-01) -
Multi-Modal Fusion of Routine Care Electronic Health Records (EHR): A Scoping Review
by: Zina Ben-Miled, et al.
Published: (2025-01-01) -
Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals
by: Ning Huang, et al.
Published: (2024-08-01) -
Study of emotion recognition based on fusion multi-modal bio-signal with SAE and LSTM recurrent neural network
by: You-jun LI, et al.
Published: (2017-12-01)