Mining and Visual Analysis of Ideological and Political Texts in University Curricula Using Natural Language Processing Techniques
FENG Xin1, WANG Ping2**, MA Zhansen2**, MIAO Fengbo2***, XIN Ruihao2*
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
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.
冯欣, 王苹, 马占森, 苗冯博, 辛瑞昊.
基于自然语言处理的高校课程思政文本挖掘及可视化分析
[J]. 吉林化工学院学报, 2023, 40(10): 31-36.
FENG Xin, WANG Ping, MA Zhansen, MIAO Fengbo, XIN Ruihao.
Mining and Visual Analysis of Ideological and Political Texts in University Curricula Using Natural Language Processing Techniques
. Journal of Jilin Institute of Chemical Technology, 2023, 40(10): 31-36.
