基于共现分析的中图分类号与关键词对应关系研究

发布时间：2018-05-29 09:32

本文选题：多重共现分析 + 共类分析　；参考：《情报科学》2017年11期

【摘要】：【目的/意义】分类号与关键词对应关系的研究不仅能够推动计算机自动分类技术的发展,而且有助于改进共类分析和共词分析的效果。【方法/过程】以国内9种图书馆学期刊近五年发表的论文为例,构建中图分类号-关键词隶属关系网络及多重共现网络,对分类号和关键词的对应关系进行计量分析和可视化展示。【结果/结论】研究表明高频共现关系能够直接判定中图分类号与关键词之间的隶属关系,此外还证实分类号-关键词多重共现分析较之传统的单一共现分析方法更具优势。
[Abstract]:[purpose / meaning] the study of the correspondence between classification numbers and keywords can not only promote the development of computer automatic classification technology, In addition, it is helpful to improve the effect of syntactic analysis and coterm analysis. [methods / process] taking the papers published in 9 kinds of library science journals in China as an example, the network of taxonomy-keyword subordination relationship and multiple co-occurrence networks are constructed. Metrological analysis and visual display of correspondence between taxon numbers and keywords. [results / conclusions] study shows that high-frequency co-occurrence relationships can directly determine the relationship between taxonomy numbers and keywords. It is also proved that the classification number-keyword multi-co-occurrence analysis has more advantages than the traditional single co-occurrence analysis method.
【作者单位】：河南科技大学管理学院;
【基金】：国家社会科学基金青年项目(14CTQ018) 河南省高校科技创新人才支持计划(人文社科类)(2017—cxrc—001)
【分类号】：G353.1

【相似文献】