Performance attributes of new energy vehicles.

This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. These data were crawled through the API provided by the Sina Weibo Open Platform (https://weibo.com). The crawling time range was from December 1 to 31, 2024, and a total of 87,673 online blog posts about new energy vehicle performance were obtained, aiming to gain a preliminary understanding of the popular evaluation attributes on social media as a reference for NEVs performance evaluation. To ensure the standardization and high quality of the text content, we performed strict data preprocessing on the original text. Specific measures include removing URL links, special symbols, and redundant spaces. In order to avoid the interference of high-frequency meaningless words on the results, we used the stop word list of CNStopwords for filtering. After the above preprocessing, we initially extracted the top ten high-frequency performance attribute feature words, which directly reflect the main concerns of social media users on NEVs.