The evolution of patent mining: Applying bibliometrics analysis and keyword network analysis

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• 作者：Farshad Madani ; ^{fmadani@pdx.edu" class="auth_mail" title="E-mail the corresponding author} ; ^{farshad.madani@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Charles Weber
• 关键词：Technology mining ; Patent mining ; Bibliometrics analysis ; Keyword network analysis ; Cluster analysis ; CiteSpace
• 刊名：World Patent Information
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：46
• 期：Complete
• 页码：32-48
• 全文大小：2021 K

文摘

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.