Automatic Chinese Keyword Extraction Based on KNN for Implicit Subject Extraction

Zhang Qingguo,Zhang Chengzhi

doi:10.1109/kam.2008.87

Automatic Chinese Keyword Extraction Based on KNN for Implicit Subject Extraction

Zhang Qingguo, Zhang Chengzhi

https://doi.org/10.1109/kam.2008.87

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Publication Date: Dec 1, 2008

Citations: 4

Affiliation: Wanfang Data (China), Nanjing University of Science and Technology

#Automatic Keyword Extraction #Candidate Keywords + Show 8 more

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Abstract

In this paper, a method of automatic Chinese keyword extraction based on KNN is proposed. Firstly, it preprocesses the document by vector space model. Secondly, it constructs a set of candidate keywords based on KNN method and the labeled dataset. Finally, it post-processes on candidate keywords by the character of keyword to meet readers' requirements Experimental results show the method proposed can not only improve the precision and recall of keyword extraction, but also extract implicit subject efficiently.

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