%0 Journal Article
%T 基于指标预测与对比的我国“双一流”高校专利转化潜力研究<br>A Study on Patents Transformation Potential of China’s “Double First Class” Universities Based on Indicator Prediction and Comparison
%A 冯劭华
%A 吴进
%A 昝栋
%A 李希
%J Hans Journal of Data Mining
%P 125-134
%@ 2163-1468
%D 2024
%I Hans Publishing
%R 10.12677/hjdm.2024.142011
%X “双一流”高校是我国科技创新潜力的中坚力量，挖掘和评估其专利成果的转化潜力，充分定位和展示其产业化能力与前景，对激发高校成果转化活力、释放成果价值具有重要意义。本文以专利文本数据为基础，基于高校专利转化前景评价体系及潜力评估指数，构建高校专利转化潜力分析模型，通过指标的量化、预测与对比，对第一轮42所一流大学建设高校专利成果转化潜力进行挖掘和评估，展示其专利转化的潜力优势、不足及提升空间，为42所一流大学建设高校提升转化运营能力，形成核心竞争力提供信息参考。<br />
The “Double First-Class” universities serve as the backbone of China’s technological innovation potential. Exploring and evaluating the transformation potential of their patent outcomes, and fully positioning and exhibiting their industrialization capabilities and prospects, are of significant importance in stimulating the vitality of university outcome transformation and unlocking the value of their achievements. Based on patent text data, this article constructs an analysis model for the transformation potential of university patents through a comprehensive evaluation system and potential assessment index. By quantifying, predicting, and comparing various indicators, we aim to delve into and assess the transformation potential of patent outcomes from the first batch of 42 universities designated for top-tier development. This analysis will reveal their strengths, weaknesses, and areas for improvement in patent transformation, providing informational references for these universities to enhance their transformation operational capabilities and foster core competitiveness.
%K 一流大学建设高校，专利，转化潜力<br>“Double First-Class” University
%K Patent
%K Transformation Potential
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=85259