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Research on Bibliometric Method Based on Text Mining and Knowledge Map
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XIN Ruihao1, DONG Zheyuan1** , MIAO Fengbo1** ,WANG Tiantian1**, LI Yingrui1** ,FENG Xin2*
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Abstract
Traditional bibliometric methods tend to ignore the word frequency of the text in the literature, which leads to the analysis results that can't better highlight the core topics and research hotspots in related fields. This paper proposes a bibliometric method based on the combination of text mining and knowledge map. Through co-word analysis, the subject word matrix is constructed, and the core themes and research hotspots of the literature are analyzed by co-occurrence analysis, text clustering, data visualization and bibliometrics, so as to provide reference for subsequent scholars' research. Taking the literature of higher education reform as an example, the research shows that the bibliometric method combining text mining and knowledge map can obtain the core themes and research hotspots in the field of higher education reform and provide data support for the follow-up research of higher education reform.
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Published: 25 January 2023
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