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What is Wikipedia-Based Document Classification about?

This paper proposes a technique for document classification that utilizes Wikipedia categories associated with named entities found in documents. The algorithm extracts named entities from documents, matches them to Wikipedia categories, and uses the categories as features for classification. The paper demonstrates the approach on a toy corpus, showing it can successfully classify documents based on the concepts represented by entity categories rather than just surface word occurrences.

Language

EN