Research on National Innovation Driven Policies Based on Natural Language Processing and Social Network Analysis

Strategy for Innovation and Development of Science and Technology ›› 2022, Vol. 6 ›› Issue (4): 1-12.

• Science and Technology Policies and Regulations • Next Articles

Research on National Innovation Driven Policies Based on Natural Language Processing and Social Network Analysis

HUANG Xue-mei¹, HUANG Ding-xuan²

1. Chongqing Planing & Design Institute, Chongqing 401120, China;
2. School of Management, Chongqing University of Technology, Chongqing 400054, China

Received:2022-04-29 Online:2022-08-15 Published:2023-04-26

Abstract

Abstract: An accurate understanding of national innovation driven policies can help to target and customize innovation-driven policies in different regions and promote high-quality industrial development. Based on the shortcomings of quantitative analysis of national innovation driven policies, this paper uses natural language processing technology and social network analysis methods for econometric analysis, the results show that the high-frequency word social network of national innovation driven policies has two inner and outer layers with different connection strength, national innovation driven policies are overall characterized by "innovation" and "development", these two high-frequency words have the greatest connection strength and influence, and different high-frequency words have different influences and social network characteristics. Based on this, the paper puts forward the management enlightenment of formulating innovation driven development policies in different regions.

Key words: innovation driven policy, natural language processing, social network analysis

CLC Number:

F270

HUANG Xue-mei, HUANG Ding-xuan. Research on National Innovation Driven Policies Based on Natural Language Processing and Social Network Analysis[J]. Strategy for Innovation and Development of Science and Technology, 2022, 6(4): 1-12.

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Strategy for Innovation and Development of Science and Technology

Research on National Innovation Driven Policies Based on Natural Language Processing and Social Network Analysis

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