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New Technology of Library and Information Service  2010, Vol. 26 Issue (11): 45-52    DOI: 10.11925/infotech.1003-3513.2010.11.07
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Detection Method of Latent Burst Word Based on the Clue of Energy Evolution
Hong Na1, Zhang Zhixiong2, Le Xiaoqiu2
1. Institute of Medical Information,Chinese Academy of Medical Sciences, Beijing 100020,China;
2. National Science Library, Chinese Academy of Sciences, Beijing 100190, China
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This article analyzes the feasibility of latent burst word detection through tracking the clue of energy evolution, and proposes a method based on energy of words and energy evolution trends. First, it describes the life cycle and the evolution progress of words. Then based on the analysis of the energy accumulation and decay and the energy change trend, this article proposes the model evidence and establishes the EneTr model to detect the latent burst words. In addition, it proposes correspond solving method about the key problems of EneTr and implements the algorithm. Finaly, the model is separately validated by experiment on two different document streams which are Web news and scientific literature.

Key wordsTime series      Burst words      Latent burst words      Energy     
Received: 12 October 2010      Published: 04 January 2011



Cite this article:

Hong Na, Zhang Zhixiong, Le Xiaoqiu. Detection Method of Latent Burst Word Based on the Clue of Energy Evolution. New Technology of Library and Information Service, 2010, 26(11): 45-52.

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