Detecting Depression in Social Media using Fine-Grained Emotions-Reference-Cited by-同舟云学术

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Detecting Depression in Social Media using Fine-Grained Emotions

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 Conference of the North
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Author:

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

Publisher

Association for Computational Linguistics

Cited by 39 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. JMS-QA: A Joint Hierarchical Architecture for Mental Health Question Answering;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Generating Sub-emotions from Social Media Data Using NLP to Ascertain Mental Illness;Communications in Computer and Information Science;2023-12-23

3. Incorporating historical information by disentangling hidden representations for mental health surveillance on social media;Social Network Analysis and Mining;2023-12-10

4. A systematic review on automated clinical depression diagnosis;npj Mental Health Research;2023-11-20

5. Multi-Perspective Sentiment Analysis on Life Events with Sentiment Cause Identification;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

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