Text mining based theme logic structure identification: application in library journals

doi:10.1108/LHT-10-2017-0211

	Text mining based theme logic structure identification: application in library journals
	Zhu, Qing 1; Wu, Yiqiong 1; Li, Yuze 2; Han, Jing 1; Zhou, Xiaoyang 1,3
刊名	LIBRARY HI TECH
	2018
卷号	36 期号:3 页码:411-425
关键词	Big data Knowledge management Machine learning Text mining ANN EEMD
ISSN号	0737-8831
DOI	10.1108/LHT-10-2017-0211
英文摘要	Purpose Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of unstructured data has become a modern knowledge management resource. The paper aims to discuss this issue. Design/methodology/approach This research combined theme logic structure (TLS), artificial neural network (ANN), and ensemble empirical mode decomposition (EEMD) to transform unstructured data into a signal-wave to examine the research characteristics. Findings Research characteristics have a vital effect on knowledge management activities and management behavior through concentration and relaxation, and ultimately form a quasi-periodic evolution. Knowledge management should actively control the evolution of the research characteristics because the natural development of six to nine years was found to be difficult to plot. Originality/value Periodic evaluation using TLS-ANN-EEMD gives insights into journal evolution and allows journal managers and contributors to follow the intrinsic mode functions and predict the journal research characteristics tendencies.
资助项目	National Natural Science Foundation of China[71401093] ; National Natural Science Foundation of China[71350007] ; National Natural Science Foundation of China[91646113]
WOS研究方向	Information Science & Library Science
语种	英语
出版者	EMERALD GROUP PUBLISHING LTD
WOS记录号	WOS:000434253200004
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/30364]
专题	中国科学院数学与系统科学研究院
通讯作者	Zhou, Xiaoyang
作者单位	1.Shaanxi Normal Univ, Inst Cross Proc Percept & Control, Xian, Shaanxi, Peoples R China 2.Univ Toronto, Dept Mech & Ind Engn, Toronto, ON, Canada 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Qing,Wu, Yiqiong,Li, Yuze,et al. Text mining based theme logic structure identification: application in library journals[J]. LIBRARY HI TECH,2018,36(3):411-425.
APA	Zhu, Qing,Wu, Yiqiong,Li, Yuze,Han, Jing,&Zhou, Xiaoyang.(2018).Text mining based theme logic structure identification: application in library journals.LIBRARY HI TECH,36(3),411-425.
MLA	Zhu, Qing,et al."Text mining based theme logic structure identification: application in library journals".LIBRARY HI TECH 36.3(2018):411-425.