A Study of Technological Evolution of Paper-patent Text Mining Based on AutoPhrase-SBERT
[Purpose/significance]Through the analysis of the papers and patent texts within the hydrogen production field,this paper reveals the technological evolution trend,which provides references for researchers and engineers to understand the key technolo-gies and development trends in this field.[Method/process]This paper uses the AutoPhrase-SBERT algorithm to extract and identify the topics of papers and patents in the field of hydrogen production from 2000 to 2022 in China.And it employs Pearson correlation coef-ficients to calculate the correlation between the paper and patent subject under the adjacent time window,and employs Sankey diagrams to visualize the topic correlation,so as to reveal the technological evolution in the field of hydrogen production in China.[Result/con-clusion]This method can show the changing trend of the technology in this field over time,and can reveal the relationship and interac-tion between the paper and patent topics.
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