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Topic Evolution and Emerging Topic Analysis Based on Open Source Software Cover

Topic Evolution and Emerging Topic Analysis Based on Open Source Software

Journal of Data and Information Science
Volume 5 (2020): Issue 4 (November 2020)
By: Xiang Shen and  Li Wang  
Open Access
|Sep 2020

Authors

Xiang Shen

shenx@mail.las.ac.cn

National Science Library, Chinese Academy of Sciences, Beijing, China

Li Wang

Department of Library, Information and Archives Management of University of Chinese Academy of Sciences, Beijing, China
DOI: https://doi.org/10.2478/jdis-2020-0033 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 126 - 136
Submitted on: Jan 23, 2020
Accepted on: Jul 20, 2020
Published on: Sep 7, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Topic evolution,
Emerging topics,
Text mining,
Thesaurus,
VOSviewer
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2020 Xiang Shen, Li Wang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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