中文专利数据可视化分析系统研究与设计  

RESEARCH AND DESIGN OF CHINESE PATENT DATA VISUALIZATION ANALYSIS SYSTEM

作　　者：陈挺 徐胜捷 陈龙 陆间 张丽丽 Chen Ting;Xu Shengjie;Chen Long;Lu Jian;Zhang Lili(School of Business,Hohai University,Nanjing 211100,Jiangsu,China;School of Computer&Information Technology,Hohai University,Nanjing 211100,Jiangsu,China)

机构地区：[1]河海大学商学院,江苏南京211100 [2]河海大学计算机与信息学院,江苏南京211100

出　　处：《计算机应用与软件》2023年第1期24-29,共6页Computer Applications and Software

基　　金：国家级大学生创新创业训练计划资助项目(201910294078)。

摘　　要：现有的专利分析系统在可视化方面存在诸多不足,针对中文专利的可视化分析工具更是少之又少。结合文本挖掘技术,设计并实现“中文专利数据可视化分析系统”,具有专利态势分析、专利聚类分析、专利引证分析三种分析功能,多角度分析了中文专利数据,并将数据分析结果通过可视化模块直观地呈现出来,为专利信息使用者提供更好服务。The existing patent analysis system has many deficiencies in visualization, and there are few visual analysis tools for Chinese patents. Combining with text mining technology, this paper designs and implements the Chinese patent data visualization analysis system. It had three analysis functions, which were patent situation analysis, patent clustering analysis and patent citation analysis. It analyzed Chinese patent data from multiple perspectives, and presented the data analysis results intuitively through the visualization module, so as to provide better service for patent information users.

关 键 词：专利分析 可视化 文本聚类 系统设计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]