基于主题模型的中外期刊文献挖掘对比研究  

A Comparative Study of Chinese and Foreign Journal Literatures Mining Based on Topic Model

作　　者：单国栋[1] 肖彦翠 王皓[2] SHAN Guodong;XIAO Yancui;WANG Hao(College of Science,Changchun University,Changchun 130022,China;School of Statistics,Dongbei University of Finance and Economics,Dalian 116025,China)

机构地区：[1]长春大学理学院,长春130022 [2]东北财经大学统计学院,辽宁大连116025

出　　处：《长春大学学报》2019年第6期23-29,共7页Journal of Changchun University

基　　金：辽宁省社会科学规划基金项目(L16BTJ001)

摘　　要：基于运用网络爬虫技术获取的《美国经济评论》和《经济研究》的Web文本数据,从描述性分析和主题模型分析两个角度,分别对预处理后的数据进行对比。分析结果发现,《美国经济评论》和《经济研究》在主题内容上既有相同点,即主题均包含国民经济学、投资学和国际贸易学,亦存在不同之处,此结果为广大学者的研究提供了现实依据,并为《经济研究》的未来建设提供了合理参考。Based on Web text data obtained by using web crawler technology from The American Economic Review and Economic Research , this paper compares the preprocessed data respectively from the perspectives of both descriptive analysis and model analysis. The results show that there are some similarities in the themes of The American Economic Review and Economic Research , namely, both of them concerns national economics, investment and international trade. In addition, there are also some differences between them. The analysis results may provide a realistic basis for scholar’s future research and provide reasonable references for the future construction of Economic Research .

关 键 词：美国经济评论 经济研究 WEB文本挖掘 分词 主题模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]