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

doi:10.1108/LHT-10-2017-0211

CSpace

	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
	2018
发表期刊	LIBRARY HI TECH
ISSN	0737-8831
卷号	36 期号:3 页码:411-425
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.
关键词	Big data Knowledge management Machine learning Text mining ANN EEMD
DOI	10.1108/LHT-10-2017-0211
语种	英语
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
WOS类目	Information Science & Library Science
WOS记录号	WOS:000434253200004
出版者	EMERALD GROUP PUBLISHING LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/30365
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.