文献类型：期刊文献

英文题名：Based on Data-Driven Research on the Emotional Experience of Electric Vehicle Users

作者：Zhang, Ying[1]; Zhang, Jie[1]; Cui, Yue[1]; He, Chenglin[1]; Liu, Dashuai[1]

机构：[1] School of Art Design and Media, East China University of Science and Technology, Shanghai, 200237, China

年份：2023

卷号：1836 CCIS

起止页码：122

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20233614672050)

语种：英文

外文关键词：Big data - Electric vehicles - Visual languages

摘要：Under the global goal of "dual carbon", rich and diversified new energy vehicle products continue to meet market demand, and new energy vehicles are increasingly recognized by consumers, but the current evaluation research on their user emotions is still insufficient. In order to more accurately understand the relatively real user emotional experience of electric vehicles, this paper proposes a method for collecting, drawing and analyzing these online reviews based on the online comment text of electric vehicle big data, text mining and natural language processing, and combined with the sentiment analysis method of user evaluation. Firstly, taking the typical electric car BYD-Song PLUS as an example, the online short text review about BYD-Song PLUS on the online review website is obtained through the crawler software; Secondly, natural language processing technology is used to preprocess the data to obtain the visual statistics of word frequency related to eight subject words. Then, a user sentiment analysis method is established to obtain sentiment analysis of short text data. Finally, combined with the theory of emotional experience, the application of emotional experience electric vehicles is analyzed from three aspects: instinctual level, behavioral level and reflection level. Compared with the traditional research focusing on individual user evaluation, this study explores the possibility of a user perceptual evaluation research method in the context of big data. This will provide a certain theoretical reference for the research of user perceptual evaluation system, and help people related to new energy vehicles and even more related products to understand the emotional experience of users closer to the truth. ? 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.