关键词: 技术演进, 专利网络, 专利引文分析, 文本挖掘

Abstract: Technology evolution research can make the developing process, history and status of a specific field clear. It’s valuable for government and enterprises’ S&T strategy management. Patent citation analysis has some disadvantages such as it can’t judge the technology similarity of two patents accurately and the scope of analysis and richness of potential information is limit in technology evolution research. Text mining method can analyze text of patents deeply. It can make up the disadvantages of patent citation analysis to some degree. So we explore the combination of patent citation analysis and text mining method to research technology evolution. We construct C-T (Citation-Text) patent network based on patent citation matrix and patent text similarity matrix, then we do a cluster analysis and visualize the results. This paper aims to carry out the innovation of technology evolution research methods and enrich methodology of technology evolution research.

Key words: Technology Evolution, Patents Network, Patent Citation Analysis, Text Mining