Abstract:  [Purpose/Significance] This paper aims to analyze the policy evolution of the new generation of information technology industry, to clarify the policy optimization direction, and promote the development of the new generation of information technology industry. [Design/Methodology] The policy search terms are determined by integrating authoritative classified documents published by the government, research reports published by the industry, and relevant articles published in the academic field. By using policy coding, text analysis, BERT model and other analysis methods, the external attributes of the policy, theme evolution and structural evolution are analyzed. [Findings/Conclusion] The evolution of the new generation of information technology industry policies has experienced a process from the initial stage to the rapid development stage and then to the stable development stage. The policy content evolutes from the basic supporting policy to the high-end factor policy and then to the transformational and qualitative policy. The quantity distribution structure of different types of policy instruments is unbalanced, among which the environmental instruments are the most, followed by supply instruments and demand instruments are the least. In the future, governments at all levels should coordinate the development of various types of new generation information technology, implement the policy requirements, and increase the support of demand policy instruments. [Originality/Value] This study conducts quantitative research on policies from the dimensions of external and content attributes, and achieves automatic extraction of different policy features through multiple methods, which clarifies the types of policy concerns for the new generation of information technology, and systematically reviews the characteristics of policy changing in the new generation of information technology industry, providing reference for government in policy formulation.

Key words: The new generation of information technologies, Policy evolution, Feature extraction, Policy topics, Policy instruments