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Research on the influence of science and technology innovation policy on innovation performance based on text mining

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DOI: 10.23977/infse.2023.040918 | Downloads: 13 | Views: 313

Author(s)

Li Zhenzhen 1

Affiliation(s)

1 School of Public Administration, Dalian University of Technology, Dalian, Liaoning, China

Corresponding Author

Li Zhenzhen

ABSTRACT

In order to promote better development in the field of technological innovation, the government needs to timely establish and enhance an adaptive policy framework to maximize the effectiveness of policies. Against this backdrop, studying the impact of technological innovation policies on corporate innovation performance holds both theoretical and practical significance. This study utilizes text mining techniques to conduct thematic analysis and keyword extraction on national technological innovation policies from 2009 to 2018. It further compares and analyzes the similarities and differences in technological innovation policies among selected provinces over the past decade. Employing text sentiment analysis technology and considering the inherent characteristics of technological innovation policies, a policy polarity analysis is conducted to obtain incentive scores, responsibility scores, and policy tones from policy texts, exploring the emotional orientation of policies. Taking manufacturing-related policies in various provinces as an example, the study combines text mining techniques with the quantification of policy texts to empirically investigate the role of technological innovation policy polarity and tone in innovation performance nationwide.

KEYWORDS

Technological innovation policies, text sentiment analysis technology, innovation performance nationwide

CITE THIS PAPER

Li Zhenzhen, Research on the influence of science and technology innovation policy on innovation performance based on text mining. Information Systems and Economics (2023) Vol. 4: 134-147. DOI: http://dx.doi.org/10.23977/infse.2023.040918.

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