摘要
文章使用内容分析和主题词共现网络分析对我国人工智能发展水平3个不同梯队的9个省市及国家层级的10项人工智能发展规划政策文件进行了研究,旨在揭示各项政策文本内容的主题分布结构特征,从而为进一步解读相关文件提供参考,也为未来政策文件制定、优化及相关研究提供借鉴。研究发现:基础理论研究与关键共性技术创新是人工智能发展原驱动力;人工智能示范应用工作是政策布局的关键组成部分;各省市根据其经济基础、产业结构、社会文化特征等因素对未来人工智能发展进行规划,其人工智能政策主题分布存在显著差异;各省市人工智能政策共现网络相似度与其智能发展水平梯队分类无明显关联。
This study analyzes one national and nine local Artificial Intelligence(AI) policy and planning texts published by different provinces and cities at different development levels. The purpose is to reveal the topic structure andfeatures in the texts. The results indicate: basic research and key technology is important motivation of AI industry;thedemonstration project of AI application is a key component of policies;the provinces and cities make AI developmentplanning based on the development of economic foundation, industry structure, and social cultural characteristics. Thedistribution of topics is obviously different. The study also indicates that there are no salient relationships between cooccurrence network similarity and the development levels in AI industry.
作者
章小童
李月琳
Zhang Xiaotong;Li Yuelin(Department of Information Resource Management, Business School, Nankai University, Tianjin, 300071)
出处
《情报资料工作》
CSSCI
北大核心
2019年第4期44-55,共12页
Information and Documentation Services
基金
中央高校基本科研业务费专项资金
教育部人文社会科学研究专项任务项目(工程科技人才培养研究)(编号:19JDGC003)的研究成果
关键词
人工智能
政策分析
主题结构特征
共现网络分析
Artificial Intelligence(AI)
policy analysis
topic structure features
co-occurrence network analysis
