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Combining an emotion extraction network with a reinforcement learning attention network to select indicator posts based on emotional states achieves over 90% accuracy and outperforms existing baselines in detecting depression from social media data. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Emotion-Based Reinforcement Attention Network for Depression Detection on Social Media: Algorithm Development and Validation

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