Jeans, emblematic of enduring fashion appeal, serve as a barometer of societal trends. This study explores the evolving landscape of meta trend analysis in the fashion industry, acknowledging the need for methodologies tailored to the vast amounts of data available through social media. By focusing on jeans, a quintessential fashion staple, the research applies text mining techniques, specifically TF-IDF analysis, to examine design style changes over a decade. Methodologically rigorous, the study meticulously curates and analyzes Naver blog posts spanning from 2013 to 2022, filtering out content unrelated to design. Morpheme analysis isolates pertinent nouns, facilitating comprehensive TF-IDF examinations. Design elements—fit, color, material, detail, and rise length—are methodically dissected, revealing notable shifts over time. The skinny fit, once dominant, diminished in prevalence by 2022, contrasting with the ascendant popularity of the wide fit. Noteworthy trends emerge in color preferences, with black and white prevailing alongside a burgeoning interest in light blue. Elasticity appears as a key material characteristic that remains consistent throughout the study period. Moreover, temporal fluctuations in detailing, such as tears and decorative stitching, underscore the dynamic nature of fashion. This research makes a unique contribution to the literature on the intersection of fashion and big data, emphasizing design perspectives amid the prevalence of consumer-focused analyses. Its practical implications extend to informing online fashion product development and prioritizing design elements that resonate with contemporary consumer preferences.

Abstract
I. Introduction
    1. Research gap and rationale
    2. Scope and boundaries
Ⅱ. Review of Literature
    1. Denim jeans
    2. Fashion trend forecasting
    3. Text mining analysis
Ⅲ. Research Method
    1. Research question
    2. Data collection
    3. Refining data
    4. Limitation of data source
    5. Restriction of method (TF-IDF)
Ⅳ. Results and Discussion
    1. Vocabulary by design component
    2. Vocabulary analysis by design component
Ⅴ. Conclusion
Note
References

• Jungmin Kim(Master, Dept. of Fashion Industry, Ewha Womans University, Korea)
• Jung Soo Lee(Associate Professor, Dept. of Fashion Industry, Ewha Womans University, Korea) Corresponding author