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The Research of Text Preprocessing Based on Web Mining and Itsapplication

Author: ZhongPeiRong
Tutor: ZhuHaiBin;WangRuLong
School: Hunan University
Course: Software Engineering
Keywords: Web Mining Text Mining Vector space model Feature selection Text Classification
CLC: TP391.1
Type: Master's thesis
Year: 2006
Downloads: 383
Quote: 3
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Abstract


With the development of Internet technology , especially the global popularity of the Web , there the information is extremely rich in knowledge but the plaque relative lack of phenomenon . How from these vast the text found valuable information is an important goal in the field of information processing . Web text mining is a data mining technology is an important application in the network information processing , but due to the openness of the Internet and the heterogeneity makes it hard to quickly and accurately obtain the required information from the WWW , from a large number of information quickly and effectively extract the required information will become an important research topic . Text preprocessing is the bottleneck of text classification . This thesis is engaged in text mining the pretreatment work , as well as the basis of the work carried out by the text classification technology research has important theoretical significance and practical value . This paper first discusses the relevant theory of Web mining , and then discuss the Web text mining before pretreatment technology , the proposed pretreatment process improvement method : ( 1 ) in the feature weight computing : common feature weight weight analysis and comparison of the algorithm to improve the traditional TF × IDF algorithm : instead of using the the new Gini index evaluation function of the IDF . The experiments show that the improved method is superior to other methods in improving the accuracy and efficiency of mining . (2) In the method of the classifier : in order to highlight the right weight adjustment for the classification of the impact of the new weighting function joined Bayesian classification method for weight adjustment . To compare the experimental results , which proved to take into account the classification characteristics , the method has certain advantages . ( 3 ) Analysis and design of a mining system in one e-mail e-mail mining module .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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