Fashion informatics of the Big 4 Fashion Weeks using topic modeling and sentiment analysis

Abstract

This study used several informatics techniques to analyze consumer-driven social media data from four cities (Paris, Milan, New York, and London) during the 2019 Fall/Winter (F/W) Fashion Week. Analyzing keywords using a semantic network analysis method revealed the main characteristics of the collections, celebrities, influencers, fashion items, fashion brands, and designers connected with the four fashion weeks. Using topic modeling and a sentiment analysis, this study confirmed that brands that embodied similar themes in terms of topics and had positive sentimental reactions were also most frequently mentioned by the consumers. A semantic network analysis of the tweets showed that social media, influencers, fashion brands, designers, and words related to sustainability and ethics were mentioned in all four cities. In our topic modeling, the classification of the keywords into three topics based on the brand collection’s themes provided the most accurate model. To identify the sentimental evaluation of brands participating in the 2019 F/W Fashion Week, we analyzed the consumers’ sentiments through positive, neutral, and negative reactions. This quantitative analysis of consumer-generated social media data through this study provides insight into useful information enabling fashion brands to improve their marketing strategies.

The operational performance of fashion companies in the context of the coronavirus pandemic: static and dynamic analyses

“…They also led to the development of the global fashion industry to a certain extent. For example, the world's most influential fashion weeks are held annually in New York, Shanghai, Paris, London and Milan (Choi et al , 2021).…”

Evaluating Public Opinion on Sustainable Fashion in the Metaverse: A New Frontier for Consumer Engagement and Environmental Advocacy

“…Research by Guo et al (2023) [53] supports the increasing demand for environmentally-friendly products, which is also reflected in academic discourse. Furthermore, Choi et al (2021) [54] emphasize the importance of brands adopting sustainable practices to remain competitive, especially during major events like fashion weeks, which amplify the role of sustainability in shaping brand strategies within the metaverse.…”

Developing an AI-based automated fashion design system: reflecting the work process of fashion designers

“…Furthermore, for garment product development, global fashion trends are reviewed based on the runway collections of high-end brands. Runway collections are essential trend information and serve as significant factors in garment product development among mass fashion brands (Choi et al, 2021;Zhao & Min, 2019).…”