Abstract: Highlights•Pioneered personalized modeling in text-based depression detection.•Personalized models narrow the gap between generic symptoms and patient experiences.•Defined key components of personalized information and proposed a novel framework.•The first longitudinal experimental dataset for text-based depression detection.
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