Abstract
The development of new energy vehicles is inseparable from the drive of consumers. Therefore, to explore the influencing factors of purchase behavior from the consumer's personal level is helpful for businesses to adopt corresponding sales strategies and the government to adopt relevant policies. Based on the individual level of consumers, this paper constructs a new energy vehicle purchase behavior prediction model from the review text, and explores the predictive effect of consumer personal factors on the purchase behavior of new energy vehicles. First of all, this paper proposes a quantitative method of consumer individual level factors, which combines word-of-mouth reviews with statistics. In this method, word2vec is used to train word vectors in word-of-mouth corpus to mine initial keywords, and core keywords are selected through statistical correlation analysis. Secondly, based on the core keywords of consumers' personal level, the gbdt model is constructed to predict the purchase behavior of new energy vehicles. The results show that the probability of correctly predicting consumers' purchase behavior is more than 72%.
Highlights
As the new energy vehicles are in the initial stage, the market is in the state of being developed
Liu et al Used a large number of user behavior data such as browsing, clicking, purchasing, and so on, through support vector machine (SVM) to predict the future purchase of online consumers, and obtained satisfactory results[3]
This paper puts forward a prediction model of purchasing behavior based on the processing of comment information from the perspective of consumers
Summary
As the new energy vehicles are in the initial stage, the market is in the state of being developed. How to promote the new energy vehicles and depict the personal portraits of consumers is a key problem. This paper puts forward a prediction model of purchasing behavior based on the processing of comment information from the perspective of consumers. How to quickly and effectively mine the review data and predict the purchase behavior of consumers has become a major research direction. From the perspective of negative comments, some scholars extract the dissatisfaction degree of consumers to improve the direction of decision-making. A new energy vehicle purchase behavior prediction model based on new energy consumers is proposed. At the level of keyword structure, the paper extracts the key words from the perspective of economic category, personal risk and values, and processes the keywords to get the prediction model of purchasing behavior
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