Application of Text Mining based on Neural Network Computing

被引:0
作者
Zhou Guohong [1 ]
机构
[1] Hebei Normal Univ Sci & Technol, Qinhuangdao 066004, Hebei, Peoples R China
来源
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3 | 2013年 / 278-280卷
关键词
Text Mining; Neural Network; Computing; CLASSIFICATION;
D O I
10.4028/www.scientific.net/AMM.278-280.1972
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Today, numbers of documents that firms must process and with the extensive amounts of information available on the Internet, an automated intelligent method is needed to sort through all available documents or sites. It would be beneficial to start with grouping similar documents or sites together based on similarities. Classifying documents and sorting them into categories could be beneficial since in most cases, no one user would be interested in all the different categories of documents at the same time. Classifying a large number of documents would also make it easier to locate a specific document. In this paper, neural network computing based text mining (TM) and its application will be discussed.
引用
收藏
页码:1972 / 1975
页数:4
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