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This repository explores the correlation between news headlines' textual embeddings and their political orientation. Using clustering and transformer-based embeddings, the goal is to classify news sources based on headline content. Key features include clustering visualizations, BERT embeddings, and comparisons between K-Means, Spectral, and DBSCAN

Creat2023-04-27T12:16:48
Update2024-07-11T07:33:31
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