国内外专利情报分析方法研究述评

A Review of Patent Information Analysis Methods at Home and Abroad

[目的/意义]专利情报分析方法为专利分析提供可靠的方法论支持,文章梳理了国内外专利情报分析方法,帮助专利情报分析人员厘清研究方法与研究内容的适配关系。[方法/过程]梳理国内外专利研究文献,整理专利情报分析方法,归纳分析方法的应用领域和特点。[结果/结论]研究发现专利情报分析方法集中于"专利情报统计分析法""专利情报机器学习分析法"以及"专利情报复杂网络分析法"三方面,呈现出"丰富性""综合性""智能性"趋势特征。[局限]综述论文数量有限,方法筛选难免会有疏漏。

[ Purpose/significance] Patent information analysis methods provide reliable methodological supports for patent analysis. In order to help patent information analysts to clarify the relationship between research methods and content, this paper reviews the analysis methods of patent information at home and abroad. [ Method/process ] The paper combs the patent research literature in China and abroad, sums up patent information analysis methods and analyzes their applications and characteristics. [ Result/conclusion] Results show that patent information analysis methods focus on in three dimensions： statistical analysis, machine learning and complex networks, which show the trend characteristics of ＂abundance comprehensiveness＂ and ＂intelligence＂ . [ Limitations ] Due to limited number of reviewed papers, there may be some inevitable oversights in methods screening.