New Energy Vehicle Consumer Demand Mining Research Based on Fusion Topic Model: A Case in China

Xiaoguang Wang, Tao Lv and Lei Fan
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Xiaoguang Wang: School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
Lei Fan: School of Mathematics and Information Engineering, Lianyungang Normal College, Lianyungang 222000, China

Sustainability, 2022, vol. 14, issue 6, 1-13

Abstract: This study extracted the demand preference topic words of new energy vehicle consumers with the help of the topic model, calculated the similarity between the word vectors and the topic keywords and expanded the topic keywords, analyzed and compared the demand topics and feature expansion words of different car models, and summarized the demand differences of other consumer groups. The analysis results show that consumers’ demands of different groups have the exact demand dimensions such as new energy features and brand features, and different demand dimensions such as application, services, and professional performance. The research findings help consumers filter valuable information from online review data and help car companies objectively and accurately obtain consumer demands, develop more reasonable marketing strategies, and achieve healthy and sustainable corporate development.

Keywords: Fusion Model; consumer demand; LDA; Word2vec (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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