This study aimed to analyze the performance of Disney-collaborated fashion lines based on online consumer reviews. To do so, the researchers employed text mining and network analysis to identify key words in the reviews of these products. Blogs, internet cafes, and web documents provided by Naver, Daum, and YoutTube were selected as subjects for the analysis. The analysis period was limited to one year after for the 2019. Data collection and analysis were conducted using Python 3.7, Textom, and NodeXL. The research terms in question were as follows: ‘Disney fashion collaboration’ and ‘Frozen fashion collaboration’. Preliminary survey results indicated that ‘Elsa’s dress’ was the most frequently mentioned term and that the domestic fashion brand Eland Retail was the most active in selling Disney branded clothing through its own brand. The writers of reviews for Disney-collaborated fashion products were primarily mothers with daughters. Their decision to purchase these products was based upon the following factors; price, size, stability of decoration, shipping, laundry, and retailer. The motives for purchasing the product were the positive response of the consumer’s child and the satisfaction of the parents due to the child’s response. The problems to be solved included insufficient quantity of supply, delay in delivery, expensive price considering the number of times children’s clothes are worn, poor glitter decoration, faded color, contamination from laundry, and undesirable smells immediately after the purchase.

Abstract
I. Introduction
Ⅱ. Theoretical Background
    1. Animation characters
    2. Disney’s fashion collaboration
    3. Semantic networks and sentiment analysis
Ⅲ. Method
    1. Data collection
    2. Data analysis and research question
Ⅳ. Result
    1. Analysis of ｢Frozen 2｣ fashion collaborated products
    2. Network analysis of ｢Frozen 2｣ fashion collaboratedproducts
    3. Sentiment analysis of ｢Frozen 2｣ fashion collaboratedproducts
Ⅴ. Conclusion
References

• Yeong-Hyeon Choi(한양대학교 의류학과 박사수료) | 최영현
• Kyu-Hye Lee(한양대학교 의류학과) | 이규혜 Corresponding author