DocumentCode
3139742
Title
A General Framework: Combining Statistical Models and Network Structure for Deep Content Mining
Author
Zhao, Chengli ; Zhang, Xue ; Yi, Dongyun
Author_Institution
Dept. of Math. & Syst. Sci., Nat. Univ. of Defense Technol., Changsha, China
fYear
2009
fDate
1-3 June 2009
Firstpage
337
Lastpage
341
Abstract
In this paper, we propose a general framework for content mining, which combines statistical model and network structure to leverages the power of both statistical topic models and network method. This method is a novel view to both text oriented method and network oriented method. The proposed framework is general, it can be applied to any text collections with an associated network structure.
Keywords
content management; data mining; network theory (graphs); statistical analysis; text analysis; deep content mining; network oriented method; network structure; statistical model; text collection; text oriented method; Blogs; Computer networks; Data mining; Information science; Mathematical model; Mathematics; Power system modeling; Publishing; Social network services; Text mining; Content mining; Statistical model; network structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3641-5
Type
conf
DOI
10.1109/ICIS.2009.201
Filename
5222891
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