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News-Segmentation

This project applies unsupervised learning techniques to automatically segment a collection of news articles into meaningful groups (topics) without prior labels. The goal is to explore how clustering algorithms can uncover hidden structures in text data.

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This project applies unsupervised learning techniques to automatically segment a collection of news articles into meaningful groups (topics) without prior labels. The goal is to explore how clustering algorithms can uncover hidden structures in text data.

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