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Automatic term identification for bibliometric mapping
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DOI：10.1007/s11192-010-0173-0.png)
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摘要
En 中文
A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.
Keyword:
Bibliometric mapping
Term map
Automatic term identification
Probabilistic latent semantic analysis
Operations research
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
8.1K
被引数:
2.2W
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引用论文
Software survey: VOSviewer, a computer program for bibliometric mapping软件调查: VOSviewer，用于文献计量制图的计算机程序.png)
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