情报杂志2024，Vol.43Issue(10)：176-186,11.DOI:10.3969/j.issn.1002-1965.2024.10.023
融合专利SAO特征的早期专利价值评估方法
Research on Early Patent Value Evaluation Method Integrating SAO Features
摘要
Abstract
[Research purpose]In the context of the strategy of strengthening China through intellectual property rights,there is a dilem-ma that patent quantity increases but quality decreases,and technology transfer rate is low.Evaluating the value of early patents is of great significance for the cultivation of high-value patents and the transfer of patent technologies.[Research method]We propose an early pa-tent value assessment method that integrates features from the patent SAO(Subject-Action-Object)network and text.Firstly,we extract the SAO structures from patent abstracts and titles.Secondly,we employ social network analysis to identify the core components of the pa-tent SAO network and obtain centrality features.Next,we input the SAO structure sequence text into the Doc2Vec model to derive the pa-tent SAO text features.Finally,we combine the basic patent features with the SAO features to construct an early patent value assessment model based on the AutoGluon automated machine learning framework.[Research conclusion]Using patents in the field of artificial intel-ligence industry as an example,an empirical research is carried out.Experimental results demonstrate that the introduction of patent SAO fea-tures improves the accuracy,recall,and Fl score of the model by 2-5％compared to the baseline model,which confirms the effectiveness of patent SAO features in identifying early-stage high-value patents.关键词
专利价值/早期专利价值评估/高价值专利/专利文本/人工智能/专利SAO网络/自动机器学习/社会网络分析Key words
patent value/early patent value evaluation/high value patents/patent texts/artificial intelligence/patent SAO network/au-tomated machine learning/social network analysis分类
社会科学引用本文复制引用
周小琴,蔡鸿宇,石进,卢明欣..融合专利SAO特征的早期专利价值评估方法[J].情报杂志,2024,43(10):176-186,11.基金项目
国家社会科学基金项目"面向国家安全的科技竞争情报态势感知研究"(编号:21BTQ012)研究成果. （编号:21BTQ012）
