Discipline literature retrieval based on latent semantic analysis

被引：0
|
作者：
College of Economics & Management, Anhui Agricultural University, Hefei [1 ]
230026, China
不详 [2 ]
230027, China
机构：
来源：
Wuhan Daxue Xuebao Xinxi Kexue Ban | / 51-56期
关键词：
Information retrieval;
D O I：
暂无
中图分类号：
G252.7 [文献检索]; G354 [情报检索];
学科分类号：
摘要：
This paper proposes a new method for discipline literature retrieval. First, it conducts keyword analysis and co-word analysis to construct professional discipline term vocabulary. Then, based on Latent Semantic Analysis model, it retrieves related discipline literature at word level in well-established vocabulary from related journals. We conduct an empirical analysis over the Scientometrics discipline with 77 related journals from Web of Science (WOS). ©, 2014, Wuhan University. All right reserved.
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