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http://dx.doi.org/10.5850/JKSCT.2021.45.6.949

Classification System of Fashion Emotion for the Standardization of Data  

Park, Nanghee (Dept. of Clothing & Textiles, Chungnam National University)
Choi, Yoonmi (Dept. of Clothing & Textiles, Chungnam National University)
Publication Information
Journal of the Korean Society of Clothing and Textiles / v.45, no.6, 2021 , pp. 949-964 More about this Journal
Abstract
Accumulation of high-quality data is crucial for AI learning. The goal of using AI in fashion service is to propose of a creative, personalized solution that is close to the know-how of a human operator. These customized solutions require an understanding of fashion products and emotions. Therefore, it is necessary to accumulate data on the attributes of fashion products and fashion emotion. The first step for accumulating fashion data is to standardize the attribute with coherent system. The purpose of this study is to propose a fashion emotional classification system. For this, images of fashion products were collected, and metadata was obtained by allowing consumers to describe their emotions about fashion images freely. An emotional classification system with a hierarchical structure, was then constructed by performing frequency and CONCOR analyses on metadata. A final classification system was proposed by supplementing attribute values with reference to findings from previous studies and SNS data.
Keywords
Classification system; Fashion data; Fashion emotion; Hierarchical structure; Standardization;
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