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New Technology of Library and Information Service  2012, Vol. 28 Issue (3): 47-52    DOI: 10.11925/infotech.1003-3513.2012.03.08
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Research on Chinese Short Text Classification Based on Wikipedia
Fan Yunjie, Liu Huailiang
School of Economics and Management, Xidian University, Xi’an 710071, China
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Abstract  According to the characteristics of Chinese short texts, a method of feature extension is introduced to help text classification. Firstly, related concepts are extracted from Wikipedia and concept associativity is calculated based on the combination of statistical laws and categories. Then the semantic related concept sets are built to extend the eigenvector of short text in order to supply its semantic features. The contrast experiment shows that the algorithm of short text classification based on Wikipedia can get a better classified effect.
Key wordsShort text      Wikipedia      Text classification      Feature extension     
Received: 01 February 2012      Published: 19 April 2012



Cite this article:

Fan Yunjie, Liu Huailiang. Research on Chinese Short Text Classification Based on Wikipedia. New Technology of Library and Information Service, 2012, 28(3): 47-52.

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