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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
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。
修改评论