Detecting Depression in Social Media using Fine-Grained Emotions

Author:

Aragón Mario Ezra,López-Monroy Adrian Pastor,González-Gurrola Luis Carlos,Montes-y-Gómez Manuel

Publisher

Association for Computational Linguistics

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prompt-based mental health screening from social media text;Anais do XIII Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2024);2024-07-21

2. Cross-Attention Transformer for User-Level Depression Detection;International Conference on Computing, Machine Learning and Data Science;2024-04-12

3. JMS-QA: A Joint Hierarchical Architecture for Mental Health Question Answering;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Uncovering anorexia and depression symptoms in social media using fine-grained emotional representations;AIP Conference Proceedings;2024

5. Explainable AI for Predicting User Behavior in Digital Advertising;Lecture Notes in Networks and Systems;2024

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