A Document Classification System Using Modified ECCD and Category Weight for each Document

Abstract

Web information service needs a document classification system for efficient management and conveniently searches. Existing document classification systems have a problem of low accuracy in classification, if a few number of feature words is selected in documents or if the number of documents that belong to a specific category is excessively large. To solve this problem, we propose a document classification system using `Modified ECCD` feature selection method and `Category Weight for each Document`. Experimental results show that the `Modified ECCD` feature selection method has higher accuracy in classification than and the ECCD method. Moreover, combining the `Category Weight for each Document` feature value and `Modified ECCD` feature selection method results better accuracy in classification.