From the perspective of patent topic correlation,this study analyzes the evolution of energy storage technology,aiming to reveal the innovation trajectory and key nodes of energy storage technology through deep mining of patent data.Using the LDA model,this paper selects forward-looking technical topics along with frontier and novelty indicators.Then,this paper establishes a semantic correlation matrix between topics considering patent innovation,effectiveness,and topic contribution rate.The research results indicate that it is feasible to identify cutting-edge topics and analyze technical evolution from the perspective of patent topic association.This result provides a reference for identifying technical topics and analyzing technological evolution in the field of energy storage.
维普
万方数据
