Can Rough Co-citation Improve the Performance of Co-citation Clustering?

被引:0
|
作者
Eto, Masaki [1 ]
机构
[1] Gakushuin Womens Coll, Tokyo, Japan
关键词
Citation context; Clustering; Co-citation; TF-IDF;
D O I
10.1145/3197026.3203908
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Co-citation clustering is often used for mapping science in the field of bibliometrics. It may be useful to utilize information from parsing the full-text of citing documents to obtain a more precise result of the clustering. Recently, "rough co-citation," which is weak co-citation relationship and can be used to indicate new related documents, has been proposed for scientific paper searches. Applying rough co-citation to the task of clustering will be beneficial. This study aims to explore whether rough co-citation can improve the performance of co-citation clustering. A clustering experiment is conducted to evaluate the effects of using rough co-citation. The experimental results indicate that the proposed technique, which uses both the original co-citation and the rough co-citation, tends to outperform the baseline technique, which only uses the original co-citation.
引用
收藏
页码:329 / 330
页数:2
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