The impact of social media comments on the sales of domestic new energy vehicles – a case study of byd

With the rapid development of information technology, social media has become an important platform for people to obtain information and exchange views. In the new energy vehicle (NEV) market, consumers' decision-making process is in-creasingly influenced by social media comments. This study aims to explore how user comments on social media affect the sales of BYD, China's domestic new en-ergy vehicle brand. By collecting and analyzing the comment data of BYD cars on relevant social media platforms, combined with sales data, text mining tech-nology is used to reveal the relationship between social media comments and sales. The research shows that by using the Latent Dirichlet Allocation (LDA) model to ex-tract the main topics in reviews and comparing them with the sales data of BYD's new energy vehicles, it is found that there is a positive correlation between spe-cific review topics and sales. For example, keywords such as "to work", "power" and "space" have a strong positive correlation with sales in the comment theme, indicating that the theme of these comments is more in line with the consumer demand of the new energy vehicle market, reflecting the concerns and interest points of consumers, and can help car companies develop more accu-rate market-ing strategies.