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New Technology of Library and Information Service  2013, Vol. 29 Issue (7/8): 89-93    DOI: 10.11925/infotech.1003-3513.2013.07-08.13
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A New Feature Selection Method Based on Term Contribution in Co-word Analysis
Hu Changping, Chen Guo
Center for the Studies of Information Resources, Wuhan University, Wuhan 430072, China
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Abstract  From the view of data dimension reduction, the method of constructing co-word matrix by high frequent words has a great improvement space. By comparing co-word analysis with traditional text processing including text categorization, text clustering and information retrieval, the authors introduce a new feature selection method based on term contribution and the algorithm description. Through experimental comparison, it is shown that the new method has obvious effect on improving the data quality and cluster result.
Key wordsCo-word analysis      Clustering      Term contribution      Feature selection      Digital library     
Received: 08 May 2013      Published: 02 September 2013



Cite this article:

Hu Changping, Chen Guo. A New Feature Selection Method Based on Term Contribution in Co-word Analysis. New Technology of Library and Information Service, 2013, 29(7/8): 89-93.

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