Abstract: In the increasingly competitive field of new energy vehicle manufacturing, accurately grasping market opportunities is the key for new energy vehicle manufacturers to gain competitive advantages. The existing market opportunity mining algorithms mainly analyze potential consumer demand satisfaction and demand importance based on online comment information to explore potential demand as market opportunities. However, these methods exhibit critical limitations: they neglect interactive information conveyed by consumers when measuring demand satisfaction, and fail to consider multiple influencing factors and their interrelationships when assessing demand importance, resulting in distorted reflection of genuine consumer needs through online reviews. Furthermore, the oversight of temporal dynamics in identifying potential demands may hinder the capability to dynamically capture evolving market opportunities. Based on above shortcomings, this article proposes a new extended 3D opportunity mining algorithm and applies it to identify opportunities in the new energy vehicle market: firstly, the satisfaction measure is proposed based on the identification of false reviews and the consideration of interactive information; secondly, the importance measure is proposed by combining the Choquet integral with the effective frequency of demand, the influence of demand on satisfaction, and the Baidu index, etc.; and lastly, based on the satisfaction and importance, the satisfaction measure is proposed based on the interaction information of consumers. Finally, on the basis of satisfaction and importance, we propose a measure of demand potential by considering the time factor, which extends the traditional opportunity algorithm to the three-dimensional space of "potential-demand satisfaction-demand importance". The effectiveness of the proposed method is verified through the application study of BYD Tang new energy vehicle, and the comparative analysis results show that the method can accurately and effectively identify the market opportunities of new energy vehicles, and help enterprises to upgrade their models in a targeted manner.

Key words: new energy vehicle, opportunity mining algorithm, online reviews, consumer demand, product improvement