Preliminary Study on the Internet Sensation Analysis of New Energy Vehicles Policy

Abstract

With the strong support of the government, new energy vehicles are developing rapidly. However, in the information age of networked and comprehensive application of the internet, the internet sensation have a positive or negative impact on the development of the new energy vehicle industry. Quantitative analysis of the internet sensation will help to propose suggestions and the countermeasures to adapt to the development of this industry. This paper applies the LDA topic model, machine learning and volume analysis of SVM classification algorithm to analyse the information obtained from the network information source of the new energy vehicle policy. The results show that government, enterprises and consumers are the main actors in the cultivation of new energy vehicles industry. While the government continues to stimulate the enthusiasm of enterprises for the construction of new energy vehicle infrastructure, it should reduce public concerns about financial subsidies and stimulate consumers. The enthusiasm of buying drives the sustainable development of the market. In order to reduce the deviation of government policy implementation, it is necessary to timely and directly use the internet as an information exchange platform for immediate and convenient communication advantages, to pay attention to and monitor the network public opinion of the new energy vehicle industry, and to reflect on lyric topics such as infrastructure and application promotion, as well as real-time tracking and understanding of the problems reflected in lyric topics such as infrastructure and application promotion, and actively adjusting the policy methods that are adapted to them, so that as a policy maker, it can fully stimulate the enthusiasm of enterprises and consumers and maximize the public interest.