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

The proposed model utilizes historical posts of users to effectively identify users' depression tendencies. The experimental results show that the emotion extraction network and the RL selection layer based on emotional states can effectively improve the accuracy of detection. In addition, sentence-level attention layer can capture core posts.