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
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;
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
DOI :
10.1109/ICIS.2009.201
