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A SOM-based Text Clustering and Apply to Search Result

Author: XuYangBin
Tutor: LiuZhiJing
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Text Mining Cluster analysis Text Clustering Eigenvectors som neural network
CLC: TP311.13
Type: Master's thesis
Year: 2007
Downloads: 386
Quote: 3
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Abstract


With the development of information technology , the text information exists in electronic form has become the main source of information . There is an urgent need to be able from the Web quickly and efficiently find the resources and knowledge of tools . In recent years, the text data of text mining has gradually become a new topic for people to study . For text clustering has attracted wide attention , and achieved good results . Firstly, the data mining process and data mining classification and respective Research and Development conducted a general introduction ; then combined with the relevant characteristics of the Chinese own detailed analysis of the key issues involved in the Chinese text automatic clustering and its technology ; then artificial neural network technology development status and characteristics of its clustering . Artificial neural networks are interconnected by a large number of simple basic elements - neurons , simulate the human brain handles information , parallel processing complex network system and non-linear conversion . In this paper, the artificial neural network technology and text mining technologies , and applied to the analysis of search engine results . On this basis the SOM neural network - based text mining model .

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