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Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model
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Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model (2020)Identifying Emotion Labels From Psychiatr…Building Chinese Affective Resources in Valence-Arousal Dimensions (2016)Building Chinese Affective Re…Digital Phenotyping Using Multimodal Data (2020)Digital Phenotyping Using Mul…A circumplex model of affect. (1980)An argument for basic emotions (1992)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Tracking and recognizing emotions in short text messages from online chatting services (2018)Machine-Learning-Based Emotion Recognition System Using EEG Signals (2020)Evaluating Multimodal Wearable Sensors for Quantifying Affective States and Depression With Neural Networks (2023)The global burden of mental disorders: An update from the WHO World Mental Health (WMH) Surveys (2009)Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders (2010)Diagnostic and Statistical Manual of Mental Disorders (2013)The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality (2021)
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References

  • 2016Building Chinese Affective Resources in Valence-Arousal Dimensions156 cited

Cited by

  • 2020Digital Phenotyping Using Multimodal Data31 cited

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