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New Technology of Library and Information Service  2012, Vol. Issue (11): 86-91    DOI: 10.11925/infotech.1003-3513.2012.11.14
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A Method for Detecting the Hot Topic of Literature Based on Lifecycle——A Case Study of Neoplasm Field
Zhao Yingguang, An Xinying, Li Yong, Jia Xiaofeng
Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
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Abstract  There are some shortcomings of hot topic detection in literature,such as single index and the inefficient filtering of high-frequency common words. The paper applies lifecycle theory and TF*PDF algorithm to literature detection, which finds the hot words by tracking the variation of words over time, then locates the time hot words appeared. The results of the empirical tests show that this approach is effective in filtering high frequently used terms and identifying hot research topics in time windows.
Key wordsLifecycle theory      Hot topic detection      Text mining     
Received: 29 October 2012      Published: 06 February 2013
:  G250  

Cite this article:

Zhao Yingguang, An Xinying, Li Yong, Jia Xiaofeng. A Method for Detecting the Hot Topic of Literature Based on Lifecycle——A Case Study of Neoplasm Field. New Technology of Library and Information Service, 2012, (11): 86-91.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.11.14     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V/I11/86

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