Identification of citation and cited texts for fine‐grained citation content analysis.

Authors :: Ou, Shiyan
Kim, Hyonil
Source :: Proceedings of the Association for Information Science & Technology; 2019, Vol. 56 Issue 1, p740-741, 2p
Publication Year :: 2019
Abstract: Citation content Analysis is very useful to reveal the nature of citations among scientific papers. However, most of previous studies had been done only from the side of citing papers and ignored the side of cited papers. We proposed a similarity‐based unsupervised citation text identification method and a ranking‐based supervised cited text identification method. Based on the identified citation and cited texts, we performed a fine‐grained citation analysis and found there was a difference in the cited texts between the citing papers in different disciplines. [ABSTRACT FROM AUTHOR]

Subjects :: CITATION analysis
CONTENT analysis
TEXT processing (Computer science)
BIBLIOMETRICS
TEXT recognition

Language :: English
ISSN :: 23739231
Volume :: 56
Issue :: 1
Database :: Complementary Index
Journal :: Proceedings of the Association for Information Science & Technology
Publication Type :: Conference
Accession number :: 139189848
Full Text :: https://doi.org/10.1002/pra2.156

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