[Purpose/significance] In this paper, we try to use the fund data to detect the research front topic and forecast its development trend. According to the characteristics of the fund project data, we propose the method of research front topic detection based on the fund project data, in order to identify the research front topic with higher prospective value, providing references for the related research.[Method/process] First of all, the research subject contained in the project was identified by using the PLDA model. s Then, based on the mapping document matrix, we built the mapping relation between the theme and fund project documents. We detected the research front topics based on the subsidy time of topics, the amount of subsidies and the center of the index. Finally, using the method of the topic evolution visualization, we analyzed the evolution of research topics to predict the development trend. [Result/conclusion] The result shows that, according to the characteristics of the fund project data, the method can identify the research front topic, and analyze the evolution process of the splitting and merging of the research front topic.
Wang Xiaoyue
,
Liu Ziqiang
,
Bai Rujiang
,
Xu Lulu
,
Chen Junying
. The Method of Research Front Topic Detection Based on the Fund Project Data[J]. Library and Information Service, 2017
, 61(13)
: 87
-98
.
DOI: 10.13266/j.issn.0252-3116.2017.13.011
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