The evolution of patent mining: Applying bibliometrics analysis and keyword network analysis |
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| Affiliation: | 1. School of Information Management, Wuhan University, No.299 Bayi Street, 430072 Wuhan, China;2. School of Library and Information Studies, University of Oklahoma, 401 W. Brooks St., Norman, OK 73019-6032, USA;1. School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310018, China;2. Business School, Sichuan University, Chengdu 610064, China;3. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China;4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 2G7, Canada |
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| Abstract: | Text mining methods allow researchers to investigate technical documents (tech mining) and specifically explore patents for valuable information (patent mining. To the review literature and analyze the evolution of patent analysis and patent mining methods, bibliometrics analysis and keyword-based network analysis is applied on 143 papers extracted from the 'Web of science' database. Bibliometrics analysis was applied to determine top players researching in patent mining. Applying cluster analysis on the keyword network shows three main stages of patent analysis evolution. Also, it is discussed how patent mining is evolutionized in terms of information retrieval, pattern recognition and pattern analysis. |
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| Keywords: | Technology mining Patent mining Bibliometrics analysis Keyword network analysis Cluster analysis CiteSpace |
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