Hindawi Mathematical Problems in Engineering Volume 2021, Article ID 9984343, 23 pages https://doi.org/10.1155/2021/9984343 Research Article A Study on Selection Strategies for Battery Electric Vehicles Based on Sentiments, Analysis, and the MCDM Model Xiaosong Ren ,1 Sha Sun ,1 and Rong Yuan 2 1School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030031, China 2College of Management and Economics, Chongqing University, Chongqing 400044, China Correspondence should be addressed to Xiaosong Ren;
[email protected] Received 11 March 2021; Revised 3 August 2021; Accepted 9 August 2021; Published 18 August 2021 Academic Editor: Maria Angela Butturi Copyright © 2021 Xiaosong Ren et al. 'is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Under the goal of carbon peak and carbon neutrality, developing battery electric vehicles (BEVs) is an important way to reduce carbon emissions in the transportation sector. To popularize BEVs as soon as possible, it is necessary to study selection strategies for BEVs from the perspective of consumers. 'erefore, the Latent Dirichlet Allocation (LDA) model based on fine-grained sentiment analysis is combined with the multi-criteria decision-making (MCDM) model to assess ten types of BEV alternatives. Fine-grained sentiment analysis is applied to find the vehicle attributes that consumers care about the most based on the word-of- mouth data. 'e LDA model is suggested to divide topics and construct the indicator system. 'e MCDM model is used to rank vehicles and put forward the corresponding optimization path to increase consumer purchases of BEVs in China.