情报杂志2025，Vol.44Issue(5)：147-155,9.DOI:10.3969/j.issn.1002-1965.2025.05.018
基于BERTopic方法的新能源汽车技术机会发现
Discovery of New Energy Vehicle Technology Opportunities Based on BERTopic Method
摘要
Abstract
[Research purpose]Faced with increasingly complex technological challenges and market change,it is crucial for new energy vehicle enterprises to efficiently identify technology opportunities with development potential to maintain their competitive advantages.[Research method]This study proposes an integrated approach for technology opportunity discovery that combines BERTopic topic ex-traction,link prediction,and dynamic assessment using technology lifecycle theory.By deeply analyzing patent texts with the BERTopic algorithm,keywords are precisely extracted to construct a technology network,and link prediction methods are employed to preliminarily identify potential technology opportunities.Subsequently,these opportunities are evaluated through a dual assessment process that incorpo-rates dynamic and static evaluation indicators,ensuring the selection of technology opportunities that align with corporate strategy.[Re-search result/conclusion]Taking BYD as an example,39 technological opportunities were identified,including fuel cells,variable speed systems,and output shafts,verifying the effectiveness of the method.This method to some extent compensates for the limitations of tradi-tional keyword extraction methods in considering the semantic relationship of patent texts,alleviates the difficulty of static evaluation in un-derstanding the future development trend of technological opportunities.关键词
新能源汽车/技术机会发现/BERTopic/专利分析/链路预测/动态评估Key words
new energy vehicle/technology opportunity discovery/BERTopic/patent analysis/link prediction/dynamic assessment分类
经济学引用本文复制引用
任嵘嵘,项李梅,徐文哲,赵萌..基于BERTopic方法的新能源汽车技术机会发现[J].情报杂志,2025,44(5):147-155,9.基金项目
国家自然科学基金项目"需求与技术双驱动的数智赋能新能源汽车创新设计决策方法研究"(编号:72371066) （编号:72371066）
教育部人文社会科学基金资助项目"基于用户生成内容的消费者需求挖掘分析方法与应用研究"(编号:22YJA630119) （编号:22YJA630119）
河北省教育厅新文科研究与改革实践项目"智慧化环境下新文科教师教学方法创新与实践"(编号:2021GJXWK0524)研究成果. （编号:2021GJXWK0524）
