Text mining based theme logic structure identification: application in library journals
文献类型：期刊论文
| 作者 | Zhu, Qing1; Wu, Yiqiong1; Li, Yuze2; Han, Jing1; Zhou, Xiaoyang1,3 |
| 刊名 | LIBRARY HI TECH
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000434253200004 |
| 出版者 | EMERALD GROUP PUBLISHING LTD |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。