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Research on Text Mining Techniques Web-Based

Gaojian Xu

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Abstract

Most information on Internet are text formatting.How to find the potential knowledge from the immensity text information is an awaiting to be settled question,which is the purpose of text mining.This is a process for analyzing text and getting the customizing messages from them.This paper introduces what is the text mining systemically,and it also further discusses the aspects involved in text mining process,including text architecture construction,feature mining,text categorization,text clustering etc.And a text mining model based on Web is presented.And will build an automatic text classification system on BBS by using programming language.

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What this paper is about

Most information on Internet are text formatting.How to find the potential knowledge from the immensity text information is an awaiting to be settled question,which is the purpose of text mining.This is a process for analyzing text and getting the customizing messages from them.This paper introduces what is the text mining systemically,and it also further discusses the aspects involved in text mining process,including text architecture construction,feature mining,text categorization,text clustering etc.And a text mining model based on Web is presented.And will build an automatic text classification system on BBS by using programming language.

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Available abstract

Most information on Internet are text formatting.How to find the potential knowledge from the immensity text information is an awaiting to be settled question,which is the purpose of text mining.This is a process for analyzing text and getting the customizing messages from them.This paper introduces what is the text mining systemically,and it also further discusses the aspects involved in text mining process,including text architecture construction,feature mining,text categorization,text clustering etc.And a text mining model based on Web is presented.And will build an automatic text classification system on BBS by using programming language.

Key concepts: Computer science, Disk formatting, Concept mining, Text graph, Noisy text analytics, Information retrieval, Text mining, Process (computing)

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