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New Technology of Library and Information Service  2012, Vol. Issue (9): 23-28    DOI: 10.11925/infotech.1003-3513.2012.09.05
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Study on the Application of Complex Network Theory in Chinese Text Feature Selection
Zhao Hui, Liu Huailiang, Fan Yunjie
Economy and Management College, Xidian University, Xi’an 710071, China
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Abstract  This paper proposes a feature selection method based on complex network. The weighted complex network of text is built to represent the semantic relations between words and text structure. The weighted degree, weighted clustering coefficient and betweenness are considered in the characteristics calculation of network nodes, the key words which can reflect the theme of the text are selected by the synthetic characteristics of network nodes. A Chinese text feature selection algorithm based on complex network is proposed and verified. The results of experiments show that the method proposed in this paper can get a better effect on the performance of text classification.
Key wordsComplex network      Semantic relevance relation      Synthetic characteristics of nodes      Feature selection     
Received: 25 July 2012      Published: 25 December 2012
:  TP391.1  

Cite this article:

Zhao Hui, Liu Huailiang, Fan Yunjie. Study on the Application of Complex Network Theory in Chinese Text Feature Selection. New Technology of Library and Information Service, 2012, (9): 23-28.

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