基于NLP的工程伦理教育研究文献挖掘与分析

NLP-based research text mining and analysis of engineering ethics education

工程伦理教育是高等工程教育改革的重要一环。在“新工科”建设背景下,学界又掀起了工程伦理教育研究的热潮。基于自然语言处理技术(NLP),借助计量可视化工具,针对中国知网(CNKI)收录的212篇研究性文献,从文献关键词时间分布图、词频表、词云图、LDA主题聚类表等角度出发,开展机器学习环境下的工程伦理教育研究文献挖掘与分析,分析中国工程伦理教育的研究现状、理论基础和研究热点,指出目前工程伦理教育存在的问题,并从高校角度提出一些改进建议,为促进工程伦理教育提供了有效参考。

Engineering ethics education is an indispensable part of higher engineering education reform.The research on engineering ethics education gets more attention from researchers under the background of Emerging Engineering Education.Based on Natural Language Processing(NPL),with the support of metrological visualization tool,this paper selects 212 research literatures collected in CNKI.From literature keyword time distribution map,keyword frequency list,keyword cloud map,LDA topic clustering table,this paper analyzes the research status,theoretical basis,and hot topics in this domain based on the environment of machine learning.Problems that impede the development of engineering ethics education are pointed out,and some suggestions are proposed.This study provides an effective reference for promoting engineering ethics education.