The Data Set of CNC machine tools field key core technology identification

[Objective] Combining textual content features and the complex network relationship between “science and technology”, this study conducts research on the identification method of key core technologies, aiming to provide intelligence support for governments, research institutions, and the industry to rationally formulate scientific and technological strategic plans, or carry out scientific and technological innovation activities.

[Methods] The Sentence-BERTopic model is used to perform deep semantic fusion and knowledge topic clustering on sentence-level paper and patent text corpora. Based on the citation relationships of papers and patents, a “science-technology” knowledge topic complex network is constructed, and the traditional PageRank algorithm is improved by combining node quality characteristics, time decay factors, weights of incoming node edges, and outdegree, etc., to objectively rank the importance and influence of nodes in the field.