Research on Academic Evaluation Based on Fine-Grain Citation Sentimental Quantification
Jiang Lin1,2(),Zhang Qilin3
1School of Economics and Management, Nantong University, Nantong 226019, China 2Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing University, Nanjing 210023, China 3Southwest University Library, Chongqing 400715, China
[Objective] This paper uses sentiment analysis technology to deeply excavate and quantify the cited sentiment contained in the cited content, to provide a more scientific theoretical basis and data support for the discovery of the intrinsic value of academic literature. [Methods] Taking the journal papers retrieved in CNKI as an example, through the fine-grained sentiment analysis and sentiment quantification of the citation content in the citing literature, the intrinsic academic value of the cited literature was deeply explored and a new academic evaluation method was proposed. [Results] Experiments showed that the dispersion coefficient based on citation sentiment method was 0.12 higher than the traditional method based on cited frequency, and the Spearman correlation coefficient reached 0.981. [Limitations] Because there is no full text citation database in China, it is difficult to obtain experimental data. The sample size in the experiment is small. [Conclusions] The academic evaluation method based on fine-grained citation sentiment quantification has a higher degree of discrimination and can more effectively measure the intrinsic academic value of the literature.
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Jiang Lin,Zhang Qilin. Research on Academic Evaluation Based on Fine-Grain Citation Sentimental Quantification. Data Analysis and Knowledge Discovery, 2020, 4(6): 129-138.
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