专题：Emotion and Mood Recognition

This cluster of papers focuses on the recognition and analysis of emotions from various modalities such as facial expressions, physiological signals, and speech. It explores the use of deep learning, affective computing, and multimodal data for emotion recognition in applications including human-computer interaction.
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Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics

article Full Text OpenAlex 1663 FWCI664.4893

A survey on sentiment analysis methods, applications, and challenges

article Full Text OpenAlex 1539 FWCI102.604

EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

article Full Text OpenAlex 1118 FWCI76.7145

Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions

review Full Text OpenAlex 778 FWCI12.6571

A systematic review on affective computing: emotion models, databases, and recent advances

review Full Text OpenAlex 619 FWCI18.6379

Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification

article Full Text OpenAlex 529 FWCI41.8195

EEG Based Emotion Recognition: A Tutorial and Review

article Full Text OpenAlex 503 FWCI90.095

Natural language processing applied to mental illness detection: a narrative review

review Full Text OpenAlex 472 FWCI17.8971

Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations

review Full Text OpenAlex 471 FWCI23.6247

Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition

article Full Text OpenAlex 455 FWCI79.2802