针对中国新能源消费满意度评价，从微博情感分析的视角，利用网络爬虫程序获取新浪微博评论数据，来研究社会公众的满意度评价。从微博评论数据情感值分析发现，社会公众对“社会发展”、“环保”、“比亚迪新能源”、“GDP”、“新能源消费”的满意度依次递减；从词云图分析来看，“新能源”、“人均GDP”、“经济发展”、“环境”等是公众关注的热门议题。研究得出：将互联网社群的民意与政府的施政措施有机结合，可以有效改进提升社会公众的满意度。

In order to evaluate the satisfaction of China's new energy consumption, we used a web crawler program to obtain Sina Weibo comment data from the perspective of microblog sentiment analysis to study the public's satisfaction evaluation. From the analysis of the sentiment value of the microblog comment data, it is found that public satisfaction with "social development", "environmental protection", "BYD new energy", "GDP" and "new energy consumption" is decreasing in order. From the word cloud analysis,“new energy”, “GDP per capita”,“economic development” and “environment” are the most popular issues of public concern. The study concludes that combining the public opinion of the Internet community with the government's administrative measures can effectively improve and enhance the satisfaction of the public.