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New Technology of Library and Information Service  2013, Vol. 29 Issue (2): 24-29    DOI: 10.11925/infotech.1003-3513.2013.02.04
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Chinese Term Extraction Based on Improved C-value Method
Hu Apei, Zhang Jing, Liu Junli
Institute of Scientific & Technical Information of China, Beijing 100038, China
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Abstract  An improved C-value term extraction method is introduced in the paper. Firstly, the domain-specific text corpora is preprocessed by stop word list. Secondly, a term extraction algorithm based on the co-occurrence frequency of multi-character is applied to get candidate terms. Lastly, term selection is completed based on termhood computed by IC-value which is the improvement of C-value in terms of inverse document frequency, meaningless substring and term length. Empirical study is conducted based on 1 000 abstracts of articles about Hepatitis B. The results indicate the proposed IC-value is much better than C-value, TF-IDF and V-value in both precision and recall. And IC-value also has good performance in long term extraction and it is very effective in filtering meaningless substring.
Key wordsTerm extraction      Statistics of string frequency      Linguistical rules      Termhood      
Received: 04 January 2013      Published: 24 April 2013
:  TP391.1  

Cite this article:

Hu Apei, Zhang Jing, Liu Junli. Chinese Term Extraction Based on Improved C-value Method. New Technology of Library and Information Service, 2013, 29(2): 24-29.

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