Research on Data-Driven Visual Element Positioning and Brand Impact Analysis Methodology

被引:0
|
作者
Huang, Xuan [1 ]
机构
[1] E-Commerce Academy, Hunan International Business Vocational College, Hunan, Changsha,410200, China
关键词
Multiple linear regression;
D O I
10.2478/amns-2024-3303
中图分类号
学科分类号
摘要
Visual element positioning is the main soul of a brand, which can directly give the public the brand identity from the appearance impression and can play an icing on the cake for the enhancement of brand influence. In this paper, we collect consumers' online review data and preprocess the data, extract the keywords of visual element positioning and brand influence using the TF-IDF algorithm, and then analyze consumers' sentiment scores for each dimension using the sentiment value calculation method. Finally, a multiple-step regression model is constructed based on correlation analysis and data-driven analysis to analyze the relationship between visual element positioning and brand influence. The results show that there is a significant positive correlation between the visual element positioning of the sign and each dimension of brand influence (r>0, P © 2024 Xuan Huang., published by Sciendo.
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