Journal of Hebei University(Natural Science Edition) >

2018 , Vol. 38 >Issue 4: 416 - 422

DOI: https://doi.org/10.3969/j.issn.1000-1565.2018.04.012

On hot topic detection by merging temporal and volatility

  • LI Hancai ,
  • XU Jianmin ,
  • WU Shufang
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  • 1.Personnel Department, Hebei University, Baoding 071002, China; 2.College of Computer Science and Technology, Hebei University, Baoding 071002, China; 3.College of Management and Economics, Tianjin University, Tianjin 300000, China; 4.College of Management, Hebei University, Baoding 071002, China

Received date: 2017-10-12

  Online published: 2018-07-25

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Abstract

Temporal and volatility are directly related to the hot degree of topic, namely, the more related stories the topic has in a certain time distance, and the larger fluctuation the topic is, the higher hot degree of this topic. Applying integration theory, methods of computing the density of related stories and the peak value are put forward based on temporal and volatility respectively. Finally, linear meditated method is used to merge them to compute the hot degree of a topic. Experiments are carried out on TDT4 corpus to testify the validity and rationality of our new method.

Key words： hot topic; detection; temporal; volatility

Cite this article

LI Hancai , XU Jianmin , WU Shufang . On hot topic detection by merging temporal and volatility[J]. Journal of Hebei University(Natural Science Edition), 2018 , 38(4) : 416 -422 . DOI: 10.3969/j.issn.1000-1565.2018.04.012

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