Identifying Key and Core Technologies Based on Patent Competitiveness Index and Doc-LDA Topic Model:Case Study of E-Vehicles
[Objective]This study utilizes big data analytics to identify key and core technologies,improving the accuracy of identification results and providing robust data support for future technological innovation and large-scale applications.[Methods]We proposed a key and core technology identification method using the patent competitiveness index and Doc-LDA topic model based on the definitions of key and core technology concepts.The method distinguished topics by evaluating their strength,topic co-occurrence strength,and effective cohesion constraint coefficient.[Results]Taking new energy vehicles(EVs)as an empirical research example,a total of 10 key and core technologies were identified:fuel cells,solid-state power batteries,high-efficiency high-density motor drive system,lightweight plastic and composite materials,cellular communication,electro-mechatronics integration,multi-gear transmission,vehicle operations,intelligent control,and autonomous driving.Further trend analysis was conducted.[Limitations]Due to the limited granularity of topic refinement,some potential micro-mechanisms have not been fully revealed.[Conclusions]Using the patent competitiveness index and the Doc-LDA topic model provides a comprehensive assessment of the market value and competitive advantage of technologies.The proposed method also enhances the accuracy of technology development trend predictions.
New Energy VehiclePatent Competitiveness IndexDoc-LDA ModelSocial Network AnalysisKey and Core Technology
NETL
NSTL
万方数据
