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Hyosun An
Department of Fashion Industry, Ewha Womans University, Seoul 03760, Korea

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Journal article
Published: 24 August 2021 in Sustainability
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This study aimed to use quantitative methods and deep learning techniques to report sportive fashion trends. We collected sportive fashion images from fashion collections of the past decades and utilized the multi-label graph convolutional network (ML-GCN) model to detect and explore hybrid styles. Based on the literature review, we proposed a theoretical framework to investigate sportive fashion trends. The ML-GCN was designed to classify five style categories, “street,” “retro,” “sexy,” “modern,” and “sporty,” and the predictive probabilities of the five styles of fashion images were extracted. We statistically validated the hybrid style results derived from the ML-GCN model and suggested an application method of deep learning-based trend reports in the fashion industry. This study reported sportive fashion by hybrid style dependency, forecasting, and brand clustering. We visualized the predicted probability for a hybrid style to a three-dimensional scale expected to help designers and researchers in the field of fashion to achieve digital design innovation cooperating with deep learning techniques.

ACS Style

Hyosun An; Sunghoon Kim; Yerim Choi. Sportive Fashion Trend Reports: A Hybrid Style Analysis Based on Deep Learning Techniques. Sustainability 2021, 13, 9530 .

AMA Style

Hyosun An, Sunghoon Kim, Yerim Choi. Sportive Fashion Trend Reports: A Hybrid Style Analysis Based on Deep Learning Techniques. Sustainability. 2021; 13 (17):9530.

Chicago/Turabian Style

Hyosun An; Sunghoon Kim; Yerim Choi. 2021. "Sportive Fashion Trend Reports: A Hybrid Style Analysis Based on Deep Learning Techniques." Sustainability 13, no. 17: 9530.

Journal article
Published: 30 April 2021 in The Research Journal of the Costume Culture
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ACS Style

Jiyoung Kim; Hyosun An. Modern reinterpretation and succession of Balenciaga design by Demna Gvasalia. The Research Journal of the Costume Culture 2021, 29, 185 -203.

AMA Style

Jiyoung Kim, Hyosun An. Modern reinterpretation and succession of Balenciaga design by Demna Gvasalia. The Research Journal of the Costume Culture. 2021; 29 (2):185-203.

Chicago/Turabian Style

Jiyoung Kim; Hyosun An. 2021. "Modern reinterpretation and succession of Balenciaga design by Demna Gvasalia." The Research Journal of the Costume Culture 29, no. 2: 185-203.

Journal article
Published: 05 November 2020 in Fashion and Textiles
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This study aims to identify fashion trends with design features and provide a consumer-driven fashion design application in digital dynamics, by using text mining and semantic network analysis. We examined the current role and approach of fashion forecasting and developed a trend analysis process using consumer text data. This study focuses on analyzing blog posts regarding fashion collections. Specifically, we chose the jacket as our fashion item to produce practical results for our trend report, as it is an item used in multiple seasons and can be representative of fashion as a whole. We collected 29,436 blog posts from the past decade that included the keywords “jacket” and “fashion collection.” After the data collection, we established a list of fashion trend words for each design feature by classifying styles (e.g., retro), colors (e.g., black), fabrics (e.g., leather), and patterns (e.g., checkered). A time-series cluster analysis was used to categorize fashion trends into four clusters—increasing, decreasing, evergreen, and seasonal trends—and a semantic network analysis visualized the latest season’s dominant trends along with their corresponding design features. We concluded that these results are useful as they can reduce the time-consuming process of fashion trend analysis and offer consumer-driven fashion design guidelines.

ACS Style

Hyosun An; Minjung Park. Approaching fashion design trend applications using text mining and semantic network analysis. Fashion and Textiles 2020, 7, 1 -15.

AMA Style

Hyosun An, Minjung Park. Approaching fashion design trend applications using text mining and semantic network analysis. Fashion and Textiles. 2020; 7 (1):1-15.

Chicago/Turabian Style

Hyosun An; Minjung Park. 2020. "Approaching fashion design trend applications using text mining and semantic network analysis." Fashion and Textiles 7, no. 1: 1-15.

Journal article
Published: 30 June 2019 in Fashion & Textile Research Journal
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ACS Style

Hyosun An; Minjung Park. Comparison of Design Related Issues with the Replacement of Fashion Creative Director : Focused on an Analysis of Social Media Posts on Gucci Collection. Fashion & Textile Research Journal 2019, 21, 277 -287.

AMA Style

Hyosun An, Minjung Park. Comparison of Design Related Issues with the Replacement of Fashion Creative Director : Focused on an Analysis of Social Media Posts on Gucci Collection. Fashion & Textile Research Journal. 2019; 21 (3):277-287.

Chicago/Turabian Style

Hyosun An; Minjung Park. 2019. "Comparison of Design Related Issues with the Replacement of Fashion Creative Director : Focused on an Analysis of Social Media Posts on Gucci Collection." Fashion & Textile Research Journal 21, no. 3: 277-287.

Journal article
Published: 30 June 2019 in Journal of the Korean Society of Clothing and Textiles
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ACS Style

Hyosun An; Suehee Kwon; Minjung Park. A Case Study on the Recommendation Services for Customized Fashion Styles based on Artificial Intelligence. Journal of the Korean Society of Clothing and Textiles 2019, 43, 349 -360.

AMA Style

Hyosun An, Suehee Kwon, Minjung Park. A Case Study on the Recommendation Services for Customized Fashion Styles based on Artificial Intelligence. Journal of the Korean Society of Clothing and Textiles. 2019; 43 (3):349-360.

Chicago/Turabian Style

Hyosun An; Suehee Kwon; Minjung Park. 2019. "A Case Study on the Recommendation Services for Customized Fashion Styles based on Artificial Intelligence." Journal of the Korean Society of Clothing and Textiles 43, no. 3: 349-360.

Conference paper
Published: 01 January 2019 in International Textile and Apparel Association Annual Conference Proceedings
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This study applies an artificial intelligence (A.I.) based visual search tool to analyze runway images. The purpose of this study is to explore the applicability of A.I. based visual search tools in the analysis of fashion styles. The study also selected Gucci collection runway images for analyzing fashion styles by creative directors. This study categorized fashion styles through academic studies as well as current online references, and input 8,739 fashion images of representative style categories to develop a visual search model. Secondly, an empirical evaluation was conducted on the Gucci collection during the fashion style analysis process. A total of 193 runway images from Frida Giannini’s 2014 FW and 2015 SS seasons and Alessandro Michele’s 2015 FW and 2016 SS seasons were collected from Vogue.com, and the fashion styles were categorized and compared through the developed visual search model. As a result of comparing the differences between the fashion styles derived from each creative director,2014 FW and 2015 SS collections directed by Frida Giannini showed ‘modern’,‘minimal’, ‘elegant’, and ‘sophisticated’ fashion styles, while the collections directed by Alessandro Michele showed ‘androgynous’, ‘hippie’, ‘romantic’, and‘retro’ fashion styles.

ACS Style

Dongjin Jung; Hyosun An; Minjung Park. Analysis of Gucci Runway Images Using an Artificial Intelligence Based Visual Search Tool: A Comparison of Fashion Styles by Creative Directors. International Textile and Apparel Association Annual Conference Proceedings 2019, 76, 1 .

AMA Style

Dongjin Jung, Hyosun An, Minjung Park. Analysis of Gucci Runway Images Using an Artificial Intelligence Based Visual Search Tool: A Comparison of Fashion Styles by Creative Directors. International Textile and Apparel Association Annual Conference Proceedings. 2019; 76 (1):1.

Chicago/Turabian Style

Dongjin Jung; Hyosun An; Minjung Park. 2019. "Analysis of Gucci Runway Images Using an Artificial Intelligence Based Visual Search Tool: A Comparison of Fashion Styles by Creative Directors." International Textile and Apparel Association Annual Conference Proceedings 76, no. 1: 1.

Journal article
Published: 30 June 2018 in Journal of the Korean Society of Clothing and Textiles
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ACS Style

Hyosun An; Minjung Park. A Study on the Evaluation of Fashion Design Based on Big Data Text Analysis -Focus on Semantic Network Analysis of Design Elements and Emotional Terms-. Journal of the Korean Society of Clothing and Textiles 2018, 42, 428 -437.

AMA Style

Hyosun An, Minjung Park. A Study on the Evaluation of Fashion Design Based on Big Data Text Analysis -Focus on Semantic Network Analysis of Design Elements and Emotional Terms-. Journal of the Korean Society of Clothing and Textiles. 2018; 42 (3):428-437.

Chicago/Turabian Style

Hyosun An; Minjung Park. 2018. "A Study on the Evaluation of Fashion Design Based on Big Data Text Analysis -Focus on Semantic Network Analysis of Design Elements and Emotional Terms-." Journal of the Korean Society of Clothing and Textiles 42, no. 3: 428-437.

Journal article
Published: 31 December 2017 in Journal of the Korean Society of Clothing and Textiles
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ACS Style

Hyosun An; Minjung Park. A Study on the User Perception in Fashion Design through Social Media Text-Mining. Journal of the Korean Society of Clothing and Textiles 2017, 41, 1060 -1070.

AMA Style

Hyosun An, Minjung Park. A Study on the User Perception in Fashion Design through Social Media Text-Mining. Journal of the Korean Society of Clothing and Textiles. 2017; 41 (6):1060-1070.

Chicago/Turabian Style

Hyosun An; Minjung Park. 2017. "A Study on the User Perception in Fashion Design through Social Media Text-Mining." Journal of the Korean Society of Clothing and Textiles 41, no. 6: 1060-1070.

Journal article
Published: 31 December 2016 in Journal of the Korean Society of Clothing and Textiles
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ACS Style

Hyosun An; Inseong Lee. An Investigation of a Sensibility Evaluation Method Using Big Data in the Field of Design -Focusing on Hanbok Related Design Factors, Sensibility Responses, and Evaluation Terms-. Journal of the Korean Society of Clothing and Textiles 2016, 40, 1034 -1044.

AMA Style

Hyosun An, Inseong Lee. An Investigation of a Sensibility Evaluation Method Using Big Data in the Field of Design -Focusing on Hanbok Related Design Factors, Sensibility Responses, and Evaluation Terms-. Journal of the Korean Society of Clothing and Textiles. 2016; 40 (6):1034-1044.

Chicago/Turabian Style

Hyosun An; Inseong Lee. 2016. "An Investigation of a Sensibility Evaluation Method Using Big Data in the Field of Design -Focusing on Hanbok Related Design Factors, Sensibility Responses, and Evaluation Terms-." Journal of the Korean Society of Clothing and Textiles 40, no. 6: 1034-1044.

Journal article
Published: 31 August 2016 in Journal of the Korean Society of Clothing and Textiles
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ACS Style

Hyosun An; Inseong Lee. Current Status of Korean Fashion Design Sensibility Evaluation Methods and Their Application Overseas. Journal of the Korean Society of Clothing and Textiles 2016, 40, 660 -668.

AMA Style

Hyosun An, Inseong Lee. Current Status of Korean Fashion Design Sensibility Evaluation Methods and Their Application Overseas. Journal of the Korean Society of Clothing and Textiles. 2016; 40 (4):660-668.

Chicago/Turabian Style

Hyosun An; Inseong Lee. 2016. "Current Status of Korean Fashion Design Sensibility Evaluation Methods and Their Application Overseas." Journal of the Korean Society of Clothing and Textiles 40, no. 4: 660-668.