文章基本信息

标题：An effective concept extraction method for improving text classification performance
本地全文：下载
作者：Zhang Yuntao ; Gong Ling ; Wang Yongcheng 等
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2003
卷号：6
期号：4
页码：66-72
DOI：10.1007/BF02826953
出版社：Taylor and Francis Ltd
摘要：This paper presents a new way to extract concept that can be used to improve text classification performance (precision and recall). The computational measure will be divided into two layers. The bottom layer called document layer is concerned with extracting the concepts of particular document and the upper layer called category layer is with finding the description and subject concepts of particular category. The relevant implementation algorithm that dramatically decreases the search space is discussed in detail. The experiment based on real-world data collected from Infor-Bank shows that the approach is superior to the traditional ones.
关键词：text classification; concept extraction; characteristic term; association rule; algorithm