DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media
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Association for Computational Linguistics
Cited by 6 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. Detecting bipolar disorder on social media by post grouping and interpretable deep learning;Journal of Intelligent Information Systems;2024-09-11
2. Explainable depression symptom detection in social media;Health Information Science and Systems;2024-09-06
3. ProDepDet: Out-of-domain Knowledge Transfer of Pre-trained Large Language Models for Depression Detection in Text-Based Multi-Party Conversations;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
4. Detection of Bipolar Disorder on Social Media Data Utilizing Biomedical, Clinical and Mental Health Domain Fine-Tuned Word Embeddings;2024 IEEE 12th International Conference on Healthcare Informatics (ICHI);2024-06-03
5. A Review of Mental Health Analysis Through Social Media Using Machine Learning and Deep Learning Approaches;2024 International Conference on Engineering & Computing Technologies (ICECT);2024-05-23
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