Perceptual Evaluation Method of Automobile Styling Design Based on Sentiment Analysis

Abstract:

Aiming at the problems of insufficient data collection range， high cost， low data accuracy and low utilization rate of unstructured data when analyzing user perceptual evaluation， a perceptual evaluation method of industrial design based on sentiment analysis was proposed. Taking battery electric vehicle as an example， the prediction model of perceptual image of electric vehicle modeling was constructed. Firstly， the subjective comments of users are quantified based on sentiment analysis to obtain the perceptual image score. Then， according to the modeling characteristics of battery electric vehicles， the main design elements different from traditional internal combustion engine vehicles are extracted. Finally， the mapping model between perceptual image score and design elements is established through quantitative-I theory. Taking the optimization of electric vehicle design scheme as an example， the feasibility of this method is proved， and the relative error of the prediction result is 5.41%. This method conforms to the user's subjective cognition and can effectively predict the user's perceptual evaluation of the scheme， so as to assist the designer to optimize the product design according to the perceptual evaluation. It has practical application value.