The programming committee for the 79th Annual SAM International Business Conference is pleased to announce the acceptance of the presentation, Investigating Youth Opinions on Sustainable Fashion on Social Media: Going Beyond Sentiment by Leveraging Large Language Models by Tina Nosrati, Desislava Budeva, Fariba Nosrati, and Enrique Nunez.
In the constantly shifting landscape of the fashion industry, understanding the nuanced perspectives of the younger generation is not just beneficial but essential for marketers, designers, policymakers, and other stakeholders. Traditional methods of social media analysis, which have long relied on sentiment analysis, often fall short in capturing the complexity of consumer opinions. Typically, these analyses categorize opinions into basic tones: positive, negative, and neutral, overlooking the detailed viewpoints that can offer deeper insights into consumer behavior and preferences. Addressing this significant gap, a groundbreaking research paper has emerged, showcasing a novel approach to analyzing youth opinions on fashion through the use of Large Language Models (LLMs).
The paper presents a customized classification model developed using LLMs, a leap forward from conventional sentiment analysis. This advanced model is designed to recognize and classify specific viewpoints, offering a granular understanding of the younger generation’s opinions on crucial topics such as sustainable fashion practices, government policies, and promotional strategies within the industry. What sets this model apart is its ability to transcend the limitations of traditional analysis methods, providing a more nuanced understanding of consumer opinions that can significantly benefit the fashion industry.
The preliminary results of this research are promising, indicating a significant improvement in both the accuracy and depth of analysis compared to traditional sentiment analysis methods. This not only enhances our understanding of youth opinions in the fashion sector but also demonstrates the vast potential of LLMs in specialized social media analysis. The insights gained from this research are invaluable, offering a new lens through which industry stakeholders can view consumer opinions, thus enabling more informed decision-making.
This innovative research is set to be presented at the SAM International Business Conference, an event that draws industry professionals, academics, and researchers from around the globe. The presentation of this paper is highly anticipated, as it offers a fresh perspective on consumer analysis in the fashion industry, highlighting the effectiveness of using LLMs in capturing the complex opinions of the younger generation. The conference will serve as a platform for discussing the implications of this research, fostering a deeper understanding of how advanced analytical tools can be leveraged to gain strategic insights into consumer behavior. As the fashion industry continues to evolve, the findings from this research could pave the way for more targeted and effective strategies, tailored to meet the demands and expectations of the youth market.
Join us online or in person at SAMIBC 2024 and see this great presentation and many more March 19 – March 23, 2024. For registration information visit www.samnational.org/conference.