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

Mining and Visual Analysis of Ideological and Political Texts in University Curricula Using Natural Language Processing Techniques

为了准确分析课程思政的研究内容和研究热点,收集了中国知网(CNKI)数据库中17059条文献数据作为样本进行总结分析,采用自然语言处理技术对文献主题进行统计,利用知识图谱和数据可视化对课程思政研究现状和未来发展趋势进行展示。课程思政这一概念提出的时间虽然不长,但研究成果产出量巨大,且呈现出快速增长的发展趋势,为高校课程思政未来的研究和探索提供了强有力的数据支持。

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.