%0 Journal Article
%T 基于非结构化专利文本数据的专利簇构建及技术演化预判研究和应用<br>Research and Application of Patent Cluster Construction and Technological Evolution Prediction Based on Unstructured Patent Text Data
%A 尚瑨
%A 王超群
%A 钱程晨
%A 刘隰蒲
%A 冉月
%J Modern Management
%P 124-130
%@ 2160-732X
%D 2025
%I Hans Publishing
%R 10.12677/mm.2025.151017
%X 本文聚焦电力行业&#65292;旨在通过深入分析非结构化专利文本数据&#65292;构建专利簇并预判技术演化路径&#65292;助力企业创新与行业发展。通过理论基础、特征提取、聚类分析的研究&#65292;分析电力行业专利数据&#65292;构建专利簇&#65292;并进行技术演化预判&#65292;探讨应用场景&#65292;为电力技术创新提供策略支撑。<br>This article focuses on the power industry, aiming to construct patent clusters and predict technological evolution paths through in-depth analysis of unstructured patent text data, in order to assist enterprise innovation and industry development. Through research on theoretical foundations, feature extraction, and cluster analysis, analyze patent data in the power industry, construct patent clusters, and predict technological evolution, explore application scenarios, and provide strategic support for power technology innovation.
%K 非结构化专利文本&#65292
%K 专利簇构建&#65292
%K 技术演化预判&#65292
%K 电力行业<br>Unstructured Patent Text
%K Construction of Patent Clusters
%K Prediction of Technological Evolution
%K Power Industry
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=104929