This study is meaningful to analyze keywords related to fashion models using big data to examine the process of fashion model research and the perspective to pursue in the future. This study was conducted in the order of data collection → data prepr...
This study is meaningful to analyze keywords related to fashion models using big data to examine the process of fashion model research and the perspective to pursue in the future. This study was conducted in the order of data collection → data preprocessing → data analysis, and text mining techniques such as word frequency, TF-IDF, network analysis, and CONCOR analysis were used to analyze research trends on ‘fashion models’. The results are as follows.
First, as a result of analyzing the frequency of words, words such as ‘fashion’, ‘model’, ‘design’, ‘image’, and ‘brand’ showed high frequency. In the TF-IDF analysis, words such as ‘fashion’, ‘brand’, ‘design’, and ‘consumer’ showed high importance. Such an interpretation is possible by examining network analysis among the results of this study.