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Expanding Scholar Labels with Research Similarity and Co-authorship Network |
Sheng Jiaqi,Xu Xin() |
Department of Information Management, Faculty of Economics and Management,East China Normal University, Shanghai 200062, China |
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Abstract [Objective] This paper tries to add more academic labels for researchers from scholarly abstracts, aiming to predict their future research interests. [Methods] First, we extracted the basic labels from abstracts with the TF-IDF method. Then, we identified researchers sharing similar academic interests and co-authoriship. Finally, we expanded the basic labels with those from similar scholars and team members. [Results] Compared with existing methods, the proposed one increased recall rate of predicting by 8.33% on average. [Limitations] Our sample size was small, and we only examined scholarly articles in one language. [Conclusions] The proposed method could predict scholars’ future research interests.
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Received: 02 January 2020
Published: 14 September 2020
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Corresponding Authors:
Xu Xin
E-mail: xxu@infor.ecnu.edu.cn
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