Add LREC-COLING/NAACL datasets when the proceedings will be ready

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LREC-COLING:

• MentalRiskES: A New Corpus for Early Detection of Mental Disorders in Spanish
• MentalHelp: A Multi-Task Dataset for Mental Health in Social Media
• ESDM: Early Sensing Depression Model in Social Media Streams
• Identifying Fine-grained Depression Signs in Social Media Posts
• Classifying Social Media Users Before and After Depression Diagnosis via their Language Usage: A Dataset and Study

NAACL:

• Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning
• Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter

Other papers to add:

• I don’t feel so good! Detecting Depressive Tendencies using Transformer-based Multimodal Frameworks
• A Hybrid BERT-CNN Approach for Depression Detection on Social Media Using Multimodal Data

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Add Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset

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add From Posts to Knowledge: Annotating a Pandemic-Era Reddit Dataset to Navigate Mental Health Narratives

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Add https://www.nature.com/articles/s41598-020-68764-y https://jina-kim.github.io/dataset/20srep-mental

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Add https://aiforpublichealth.github.io/papers/ICLR-AI4PH_paper_45.pdf https://github.com/amurark/mental-health-classification

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https://arxiv.org/pdf/2209.07494 / https://github.com/soojihan/HAN

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https://data.jmir.org/2024/1/e53365