Unknown

Dataset Information

Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications.


ABSTRACT: Quantifying scientific impact of researchers and journals relies largely on citation counts, despite the acknowledged limitations of this approach. The need for more suitable alternatives has prompted research into developing advanced metrics, such as h-index and Relative Citation Ratio (RCR), as well as better citation categorization schemes to capture the various functions that citations serve in a publication. One such scheme involves citation sentiment: whether a reference paper is cited positively (agreement with the findings of the reference paper), negatively (disagreement), or neutrally. The ability to classify citation function in this manner can be viewed as a first step toward a more fine-grained bibliometrics. In this study, we compared several approaches, varying in complexity

SUBMITTER: Kilicoglu H 

PROVIDER: S-EPMC7357398 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature