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Mining and Visual Analysis of Ideological and Political Texts in University Curricula Using Natural Language Processing Techniques
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FENG Xin1, WANG Ping2**, MA Zhansen2**, MIAO Fengbo2***, XIN Ruihao2*
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1. School of Science, Jilin Institute of Chemical Technology, Jilin 132022, China;
2. School of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132022, China
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Abstract
To accurately analyze the research contents and hotspots of curriculum ideological and political research, this study collected 17059 literature samples from the CNKI database. Natural language processing technology was used to count the topics, and data visualization was employed to display the current status and future trends of this field. Despite the relatively recent emergence of the concept of ideological and political curriculum, research output has grown rapidly. This study offers robust data support for future research and exploration in this area in universities and colleges.
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Published: 25 October 2023
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