摘要
本文运用共词分析法和词频分析法对国际图情领域大数据研究主题方向与演化特征、研究热点与前沿进行了剖析。结果显示:当前国际图情领域在大数据研究中已形成商务智能&大数据分析、人工智能&信息科学、社会网络分析&社交媒体、数据伦理&个人隐私、信息技术&信息管理、图书馆&数据素养6个规模不一的研究方向;大数据、人工智能、数据分析、数据挖掘成为一直以来学界关注的焦点,而社交媒体、机器学习、情感分析等主题则成为2018年新的研究热点;数据管理、信息系统、知识管理、机器学习、物联网等主题成为当前研究中的前沿主题。
This paper uses co-word analysis and word frequency analysis to analyze the thematic direction, evolution characteristics, research hotspots, and frontiers of big data research in the field of international library and information science. The results show that six research directions of different scales have formed in the field, namely, business intelligence and big data analysis, artificial intelligence and information science, social network analysis and social media, data ethics and personal privacy, information technology and information management, as well as library and data literacy. Big data, artificial intelligence, data analysis, and data mining have always been the focus of the academic circle, while social media, machine learning, sentiment analysis have become new research hotspots in 2018. The topics of data management, information systems, knowledge management, machine learning, and the Internet of Things have become the frontier topics in the current research.
作者
周耀林
柴昊
赵跃
Zhou Yaolin;Chai Hao;Zhao Yue(Center for Studies of Information Resoures,Wuhan University;School of Public Administration,Sichuan University)
出处
《图书馆杂志》
CSSCI
北大核心
2019年第12期16-27,44,共13页
Library Journal
基金
教育部人文社会科学重点研究基地重大项目“大数据资源规划与统筹发展研究”(项目编号:16JJD870001)的研究成果之一
关键词
大数据
人工智能
图书情报学
共词分析
词频分析
Big data
Artificial intelligence
Library and Information Science
Co-word analysis
Word frequency analysis