GA-Based Keyword Selection for the Design of an Intelligent Web Document Search System

CHUR > College Computer Science and Informatics > Department of Computer Science and Information Engineering > Journal Articles > Item 987654321/31914

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31914

Title:	GA-Based Keyword Selection for the Design of an Intelligent Web Document Search System
Authors:	周智勳 Chou, Chih-Hsun
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	web document classification;keyword extraction;genetic algorithm;vector space method;support vector machine
Date:	2009
Issue Date:	2014-06-27 01:38:58 (UTC+8)
Abstract:	The main steps for designing an automatic document classification system include feature extraction and classification. In this article a method to improve feature extraction is proposed. In this method, genetic algorithm was applied to determine the thre
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Articles

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