Thematic Structure of Artificial Intelligence Policy and Planning: Based on Co-occurrence Network Analysis of Subject Words

  • Zhang Xiaotong ,
  • Li Yuelin
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  • (Department of Information Resource Management, Business School, Nankai University, Tianjin,300071)

Online published: 2019-07-09

Abstract

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 and features in the texts. The results indicate: basic research and key technology is important motivation of AI industry; the demonstration project of AI application is a key component of policies; the provinces and cities make AI development planning based on the development of economic foundation, industry structure, and social cultural characteristics. The distribution 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.

Cite this article

Zhang Xiaotong , Li Yuelin . Thematic Structure of Artificial Intelligence Policy and Planning: Based on Co-occurrence Network Analysis of Subject Words[J]. Information and Documentation Services, 2019 , 40(4) : 44 -55 . DOI: 10.12154/j.qbzlgz.2019.04.006

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