企业竞争情报主题挖掘与主题演化研究  

Research on topic mining and topic evolution of enterprise competitive intelligence

作　　者：杨秀璋 武帅 夏换[2] 于小民 范郁锋 Yang Xiuzhang;Wu Shuai;Xia Huan;Yu Xiaomin;Fan Yufeng(School of Information of Guizhou University of Finance and Economics,Guiyang,Guizhou 550025,China;Guizhou Key Laboratory of Economics System Simulation of Guizhou University of Finance and Economics;Planning And Finance Office of Guizhou University of Finance and Economics)

机构地区：[1]贵州财经大学信息学院,贵州贵阳550025 [2]贵州财经大学贵州省经济系统仿真重点实验室 [3]贵州财经大学计划财务处

出　　处：《计算机时代》2021年第7期21-27,共7页Computer Era

基　　金：贵州省科技计划项目(No.黔科合基础[2019]1041,No.黔科合基础[2019]1403,No.黔科合基础[2020]1Y279,No.黔科合基础[2020]1Y420);贵州省教育厅青年科技人才成长项目(No.黔教合KY字[2021]135);贵州财经大学2019年度校级项目(No.2019XQN01)。

摘　　要：研究了我国企业竞争情报的热点主题和主题演化态势,利用主题挖掘与主题演化方法系统梳理了我国企业竞争情报领域的研究成果。通过Python自动提取及预处理文献数据,再利用共词分析、LDA模型和知识图谱挖掘该领域的核心科研群体和热点主题,最后结合主题演化方法梳理企业竞争情报的发展脉络。该研究可为企业竞争情报领域今后的相关探索提供借鉴,具有一定的应用价值。This paper researches on the situation of the hot topic and topic evolution of Chinese enterprise competitive intelligence,and systematically combs the research achievements in the field of Chinese enterprise competitive intelligence by using the methods of topic mining and topic evolution.The literature data are automatically extracted and preprocessed with Python,and then the core research groups and hot topics in this field are mined by using CO word analysis,LDA model and knowledge graph,finally the development context of enterprise competitive intelligence is combing with the topic evolution method.This research can provide reference for the future exploration in the field of enterprise competitive intelligence,and has certain application value.

关 键 词：主题挖掘 主题演化 企业竞争情报 知识图谱 文本挖掘 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]