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This project examines how cognitive distortions appear in non-clinical journaling. Using an annotated Kaggle dataset, distortions were labeled and analyzed for patterns. UMAP visualizations and HDBSCAN clustering reveal how different distorted thinking styles often overlap in everyday writing.

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