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基于文本聚类的稀土萃取技术专利信息分析

刘佳 宋之杰

燕山大学学报Issue(3):243-251,9.
燕山大学学报Issue(3):243-251,9.DOI:10.3969/j.issn.1007-791X.2014.03.010

基于文本聚类的稀土萃取技术专利信息分析

Rare earth extraction technology patent information analysis based on text clustering

刘佳 1宋之杰1

作者信息

  • 1. 燕山大学 经济管理学院,河北 秦皇岛 066004
  • 折叠

摘要

Abstract

The rare earth is one of the important strategic resources, while as one of the biggest rare earth resources countries, the further depth development of rare earth is restrained in China due to lacking of core patented technology. In order to analyze the evolution of the core patented technology of rare earth, and solve the problem of rare earth patented layout, lingo text clustering method is selected to analyze rare earth patent data sets. The changes in research topics and the migration of patent applications subject is explored, and the patent map is demonstrated through visualization. The results of this study can provide references for tracing rare earth extraction patent hotspot, and have great significance for enterprise patent information applications, technology research and development and intellectual property planning layout.

关键词

稀土萃取/文本聚类/专利地图

Key words

rare earth extraction/text clustering/patent map

分类

信息技术与安全科学

引用本文复制引用

刘佳,宋之杰..基于文本聚类的稀土萃取技术专利信息分析[J].燕山大学学报,2014,(3):243-251,9.

基金项目

国家自然科学基金资助项目 ()

燕山大学学报

OA北大核心CSTPCD

1007-791X

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