How does consumer demand for new energy vehicles drive innovation? -- based on social network and text mining analysis

Abstract

Market demand is the internal source of technological innovation. Automobile enterprises get various information about product improvement from consumers, and consumer demand points out the direction of technological innovation for new energy automobile enterprises. First, Python was used to write a crawler to crawl the text data of consumer comments on new energy vehicles on Autohome website. Then, big data analysis is carried out based on social network, word cloud map, LDA topic model and other methods. Finally, the empirical study found that commuting, picking up children, appearance, space, appearance level, and interior are among the key factors affecting ordinary consumers to buy new energy vehicles; consumers are not satisfied with the new energy vehicles mainly for the trunk, abnormal sound, endurance, noise, and interior. Among the 8 themes of the LDA theme model, theme 6 (noise problem), theme 1 (brake problem) and theme 3 (odor problem) show high theme intensity, and mass consumers are increasingly dissatisfied with the low financial incentives and high prices of new energy vehicles. Finally, based on the findings of the above influencing factors, relevant management suggestions on product innovation are provided for new energy vehicle enterprises.