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CiteOpinion: Evidence-based Evaluation Tool for Academic Contributions of Research papers Based on Citing Sentences

Journal of Data and Information Science 2019年第4期4卷 26-41页

作者： Xiaoqiu Le Jingdan Chu Siyi Deng Qihang Jiao Jingjing Pei Liya Zhu Junliang Yao National Science Library Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100190China

Purpose:To uncover the evaluation information on the academic contribution of research papers cited by peers based on the content cited by citing papers,and to provide an evidencebased tool for evaluating the academic value of cited ***/methodology/approach:CiteOpinion uses a deep learning model to automatically extract citing sentences from representative citing papers;it starts with an analysis on the citing sentences,then it identifies major academic contribution points of the cited paper,positive/negative evaluations from citing authors and the changes in the subjects of subsequent citing authors by means of Recognizing Categories of Moves(problems,methods,conclusions,etc.),and sentiment analysis and topic ***:Citing sentences in a citing paper contain substantial evidences useful for academic *** can also be used to objectively and authentically reveal the nature and degree of contribution of the cited paper reflected by citation,beyond simple citation *** implications:The evidence-based evaluation tool CiteOpinion can provide an objective and in-depth academic value evaluation basis for the representative papers of scientific researchers,research teams,and ***/value:No other similar practical tool is found in papers *** limitations:There are difficulties in acquiring full text of citing *** is a need to refine the calculation based on the sentiment scores of citing ***,the tool is only used for academic contribution evaluation,while its value in policy studies,technical application,and promotion of science is not yet tested.

关键词： cited paper Citing paper Citing sentence Citation motive Citation sentiment Academic contribution Evaluation

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