Feature Reduction for Text Categorization Using Cluster-Based Discriminant Coefficient

Abstract

Text classification is an important research topic for managing numerous electronic documents. Feature reduction is the key issue for text classification with high dimensional keywords. A document analysis method called discriminant coefficient was proposed to reduce features and achieve high precision text classification. However, the main problem of the… (More)
DOI: 10.1109/TAAI.2012.16

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