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Research On Enterprise Competitive Intelligence Collection System Based On Web Text Mining

Posted on:2009-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:T ZhangFull Text:PDF
GTID:2178360272485039Subject:Computer science and technology
Abstract/Summary:PDF Full Text Request
This paper mainly study the theory and method of applying web text mining on internet to collect the information of enterprise competitive intelligence, the author expects to use the correlated technique of Web text mining, such as meta-search engine, text filtering, information extraction and so on, to gain enterprise attribute information of competitors automatically, such as corporation name, corporation scale, corporation throughput, corporation contact information and so on. This can provided a lot of information material and effective decision support for the enterprises, which also can improve the competitive abilities of these enterprises.Firstly the author presents the total frame of Enterprise Competitive Intelligence Collection System based on Web Text Mining, and analyzes and designs the implementing method and key technology of its three key subsystem, which is web pages collecting subsystem, text filtering subsystem and information extraction subsystem. According to the thinking proposed, an archetype system is developed by programming computer. The feasibility of the thinking proposed is verified and accuracy is proved by the developed system.
Keywords/Search Tags:ECIS, Web Text Mining, Meta-Search Engine, Text Filtering, Information Extraction
PDF Full Text Request
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