[Purpose/significance] Topic sorting is not only the basic problem for information retrieval and information organization, but also an important work of subject service. The effective sorting of subject field research topics can help researchers and decision-making departments to grasp the research situation of the subject field effectively, locate the direction of scientific research accurately and make scientific research decisions quickly.[Method/process] This paper proposes the prioritization algorithm based on the combination of topic extraction and trend analysis. Then it takes the research topics of Library and Information Science as an example to extract the research topics of the sample literature, and each research topic is divided into four sub-topics:poor theme, hot topic, cold point theme, and overheated topic. Next priority ranking is carried out in subclasses.[Result/conclusion] The empirical results show that the priority ranking algorithm can display the development level of research topics in an all-round, fine-grained and deep way. This method provides a new perspective for realizing dynamic intelligence analysis from time dimension.
Li Xiuxia
,
Cheng Jiejing
,
Han Xia
. The Prioritization of Subject Research Topics Based on the Integration of Writing Trends and Citation Trends: Taking the Subject of Information Science in China as an Example[J]. Library and Information Service, 2019
, 63(11)
: 88
-95
.
DOI: 10.13266/j.issn.0252-3116.2019.11.010
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