2013 Annual Meeting
Montrťal, Quťbec, Canada | November 1-5, 2013
Bei Yu, Syracuse, University
Automated citation sentiment analysis is a newly emerged research topic inspired by traditional citation context analysis in bibliometrics and applied linguistics. The main goals of current citation sentiment analysis are to develop new tools to model scientific literature and provide authoring support for researchers in tasks like literature review. In terms of developing authoring support tools, however, current studies have not taken into consideration the behavioral patterns of researchersí literature review practice, leaving user need assessment as a missing piece in current interdisciplinary research effort. This paper analyzed biomedical researchersí need by reviewing their publications on using manual citation sentiment analysis for detecting citation bias, and discussed the differences between biomedical researchersí approach and current automated citation sentiment analysis model. These differences are expected to inform the modeling of automated citation sentiment analysis.