This project leverages ML to classify mental health risk signals (potential signs of depression) by analyzing structured profile metadata and unstructured textual data from social platforms, with a focus on user behavior, interactions, and content.
nlp language-model gradient-boosting bert-model bertweet tree-based-models supervised-finetuning mddl-dataset
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Updated
Apr 10, 2025 - Jupyter Notebook