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	Mining Dynamics of Research Topics Based on the Combined LDA and WordNet
	Li, Chao; Feng, Sen; Zeng, Qingtian; Ni, Weijian; Zhao, Hua; Duan, Hua
刊名	IEEE ACCESS
	2019
卷号	7页码:6386-6399
关键词	Research topics mining dynamics of research topics latent Dirichlet allocation WordNet large corpora
DOI	10.1109/ACCESS.2018.2887314
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4544982
专题	山东大学
作者单位	Shandong Univ Sci & Technol, Shandong Prov Key Lab Wisdom Mine Informat Techn
推荐引用方式 GB/T 7714	Li, Chao,Feng, Sen,Zeng, Qingtian,et al. Mining Dynamics of Research Topics Based on the Combined LDA and WordNet[J]. IEEE ACCESS,2019,7:6386-6399.
APA	Li, Chao,Feng, Sen,Zeng, Qingtian,Ni, Weijian,Zhao, Hua,&Duan, Hua.(2019).Mining Dynamics of Research Topics Based on the Combined LDA and WordNet.IEEE ACCESS,7,6386-6399.
MLA	Li, Chao,et al."Mining Dynamics of Research Topics Based on the Combined LDA and WordNet".IEEE ACCESS 7(2019):6386-6399.

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