数字人文驱动下的核心作者发现与主题挖掘研究  

Research on Core Author Discovery and Topic Mining Driven by Digital Humanities

作　　者：武帅 杨秀璋 任天舒 刘建义 Wu Shuai;Yang Xiuzhang;Ren Tianshu;Liu Jianyi(College of Information Management,Nanjing Agricultural University,Nanjing 210003,China;School of Information,Guizhou University of Finance and Economics,Guiyang 550025,China)

机构地区：[1]南京农业大学信息管理学院,南京210003 [2]贵州财经大学信息学院,贵阳550025

出　　处：《文献与数据学报》2023年第1期53-64,共12页Journal of Library and Data

基　　金：贵州省科技计划项目“基于大数据及图像识别的水族文献及濒危水书抢救性整理研究”(项目编号:黔科合基础[2020]1Y279);贵州财经大学项目“AI大数据赋能的水族知识图谱构建和濒危水书文字统计及识别研究”(项目编号:2021KYQN03)的研究成果之一。

摘　　要：[目的/意义]在数字人文驱动下,从宏观层面对《红楼梦学刊》创刊四十年成果以科研者的角度进行统计分析,从微观层面融合数据挖掘技术分析红学潜在的研究领域,更好地促进红学研究的发展。[方法/过程]主要运用了计量统计和主题挖掘的方法进行分析。首先计量统计出四十年红学研究的科研核心作者,再对红学领域成果进行主题挖掘。从核心作者发现和主题演化分析两方面研究四十年红学的研究热点。[结果/结论]红学研究整体可分为四个领域,分别是人物关系研究、社会制度研究、当下学术研讨和《红楼梦》版本猜测。[Purpose/significance]Driven by digital humanities,the achievement of the 40th anniversary of Studies on"A Dream of Red Mansions"were statistically analyzed from the perspective of researchers from the macro level,and the potential research fields of Redology were analyzed from the micro level by integrating data mining technology,so as to better promote the Redology research.[Method/process]The methods of measurement statistics and topic mining were used in turn for analysis.First,the core authors of Redology research over the past four decades were counted.Then,the topics mining of the achievements in the field of Redology were carried out.The research hotspots of Redology research over the past four decades from the two aspects of core author discovery and topic evolution.[Result/conclusion]The research on Redology can be divided into four areas as a whole,which are the study of character relationships,the study of social systems,the current academic discussion and the guessing of the version of"A Dream of Red Mansions".

关 键 词：《红楼梦学刊》 主题演化 数字人文 主题挖掘 核心作者 

分 类 号：G353.1[文化科学—情报学]