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This repository is an Object-Oriented news classifier. The core task is to implement a mechanism to categorise 20 news articles into two distinct topics based on their content. The classification system assesses the semantic closeness between articles by leveraging the Term Frequency-Inverse Document Frequency embedding model.

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