基于可视化图谱的人工智能领域热点挖掘
首发时间:2017-05-02
摘要:本文通过两种科学知识图谱工具(VOSviewer和CiteSpace),对人工智能领域一、二区期刊近年来论文做了分析和挖掘。图谱展现的是人工智能领域的知识发展的历史和现状。结合内容分析深入挖掘人工智能领域的研究热点,并且分析这些热点之间的关联关系。结果显示,人工智能领域涵盖了丰富的内容,其中图像精度处理和神经网络控制优化是两大热点。不同主题的研究态势有明显的差别。对于科研人员把握该领域研究前沿和选题研究都有很大的指导作用。
关键词: VOSviewer CiteSpace 图谱 人工智能 热点挖掘
For information in English, please click here
Visualization Analysis of Research Hotspots in Artificial Intelligence Based on Knowledge Mapping
Abstract:In this paper, two kinds of scientific knowledge mapping tools (VOSviewer and CiteSpace) are employed to analyze and excavate the top journals concerning artificial intelligence in recent years. The knowledge maps show the history and current situation of the development of knowledge in the field of artificial intelligence. Combined with content analysis, the research hotspots in the field of artificial intelligence are deeply studied, and the relationships among them are also investigated. The results show the abundance of research topics in artificial intelligence, in which image precision processing as well as neural network optimization are the two bigger hot spots. There are obvious differences in the research subjects. It has a great inspiration for researchers to grasp both the research frontier and research topics.
Keywords: VOSviewer, CiteSpace knowledge mapping artificial intelligence topic mining
引用
No.4727497119498514****
同行评议
共计0人参与
勘误表
基于可视化图谱的人工智能领域热点挖掘
评论
全部评论0/1000