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2020 , Vol. 64 >Issue 11: 145 - 152

DOI: https://doi.org/10.13266/j.issn.0252-3116.2020.11.016

Progress on Methods of Emerging Technology Topics Identification

  • Liu Xiaoling ,
  • Tan Zongying
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  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2 Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100049

Received date: 2019-04-18

  Revised date: 2019-11-17

  Online published: 2020-06-05

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Abstract

[Purpose/significance] Identification of emerging technology topics not only can contribute to track the development of technologies, but also can capture the future development opportunities and trends of technologies. Reviewing the quantitative methods of emerging technology topics identification and making a comparison of them can provide reference for an improvement of the methods. [Method/process] Firstly, concepts such as "emerging technology" and "emerging technology topics identification" were analyzed; then qualitative and quantitative research methods of emerging technology topics identification at home and abroad were investigated, focusing on bibliometrics and data mining. Quantitative methods were divided into 3 categories:keywords or documents statistical method, citation network clustering and text mining. Similarities, differences and shortcomings of above methods in the extraction of technology topics, construction of emerging technology topic identification indictors, methods verification were analyzed. Improvement methods are provided preliminarily. [Result/conclusion] The three types of methods have their own characteristics, advantages and disadvantages in the three steps of emerging technology topics identification, and there is room for further improvement. In the future, we can explore the use of techniques such as deep learning to identify technology topics accurately, and build a group of more comprehensive and systematic emerging technology topic identification indicators, as well as more rigorous method validation based on machine learning.

Key words： emerging technology; topics identification; methodology research; bibliometrics; text mining

Cite this article

Liu Xiaoling , Tan Zongying . Progress on Methods of Emerging Technology Topics Identification[J]. Library and Information Service, 2020 , 64(11) : 145 -152 . DOI: 10.13266/j.issn.0252-3116.2020.11.016

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