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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.
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Received: 25 July 2012
Published: 25 December 2012
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