科技论文关键词的选择与使用研究

Yuqing Li, Yu-hong Cao
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引用次数: 0

摘要

随着互联网的快速发展,搜索引擎已经成为研究人员获取学术文献的主要途径。为了跟上某一领域的研究热点,使我们的论文更容易被学术同行定位、下载、阅读和引用,为论文选择合理的关键词就显得尤为重要。本文首先明确了关键词的概念。其次,阐述了关键词选择的基本原则。既要保持传承,又要兼顾创新。论文的关键词应尽可能包括专题关键词、过程关键词和结论性关键词。根据关键词选择的基本原则,总结了关键词选择应遵循和避免的12条规则。在此基础上,对如何合理选择关键词进行了分析和探讨。最后,利用传统的词频统计和半监督学习方法对计算机科学领域的研究论文关键词进行分析。在分析结果的基础上,探讨了论文关键词在科研热点预测中的应用。
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Research on Keyword Selection and Usage in Scientific Papers
With the rapid development of the Internet, search engines have become the main way for researchers to obtain academic literature. In order to keep up with the research hotspots in a certain field, and to make our papers easier to be located, downloaded, read and cited by academic peers, it is particularly important to select reasonable keywords for the papers. This paper firstly clarifies the concept of keywords. Next, the basic principles of keyword selection are expounded. It is necessary to maintain the inheritance and also take into account the innovation. The keywords of the paper should include thematic keywords, process keywords and conclusive keywords as much as possible. According to the basic principles of keyword selection, 12 rules that should be followed and avoided in keyword selection are summarized. On this basis, the paper analyzes and discusses how to choose reasonable keywords. Finally, the keywords of research papers in the field of computer science are analyzed using traditional word frequency statistics and semi-supervised learning methods. Based on the analysis results, the usage of paper keywords in the prediction of scientific research hotspots is discussed.
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