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The article discusses a hybrid deep learning framework that utilizes BERT and Explainable AI techniques for the early detection of mental health disorders through social media data. It highlights the importance of combining contextual language understanding with interpretability to enhance trust and transparency in mental health assessments. Experimental results indicate that this approach outperforms traditional models, providing a reliable tool for early intervention in mental health monitoring.
- Author
- fardhin0939
- Language
- EN