关键词: 技术机会识别, 主题关联, 政策分析, 新能源汽车, 文本挖掘

Abstract: Previous studies on technology opportunity identification are mostly limited to the perspective of technology itself, pay insufficient attention to policy documents that directly reflect the major strategic demands of a country. In view of this, this paper proposes a technology opportunity identification method based on policy-technology topic association, aiming to explore the potential gaps between policy demands and technological development. Specifically, this paper uses policy documents to represent policy demands and patent technologies to represent the degree of technological development. The identification of technology opportunities is divided into three modules: topic extraction of policies and technologies, topic association, and identification and evaluation of policy-technology integration opportunities. Firstly, this paper identifies policy and technology topics by constructing a LDA topic model. Then, word embedding and hierarchical clustering methods are used to establish the mapping relationship between policy and technology. This paper locates technology opportunity by constructing identification quadrant according to the identification rules. Finally, This study takes the field of new energy vehicles as an example to verify the effectiveness of research framework, which provides information support for country and research institutions to accelerate the layout in this field.

Key words: Technical opportunity identification, Topic association, Policy analysis, New energy vehicle industry, Text mining