[논문]텍스트 마이닝(text mining) 기법을 활용한 서브버시브 베이식(subversive basics) 패션의 특성

임민정

doi:10.12940/jfb.2023.27.5.78

텍스트 마이닝(text mining) 기법을 활용한 서브버시브 베이식(subversive basics) 패션의 특성
Evaluating the Characteristics of Subversive Basic Fashion Utilizing Text Mining Techniques 원문보기

패션비즈니스 = Fashion business, v.27 no.5, 2023년, pp.78 - 92

임민정 (서원대학교, 패션의류학과)

Abstract ▼ AI-Helper

Fashion trends are actively disseminated through social media, which influences both their propagation and consumption. This study explored how users perceive subversive basic fashion in social media videos, by examining the associated concepts and characteristics. In addition, the factors contributing to the style's social media dissemination were identified and its distinctive features were analyzed. Through text mining analysis, 80 keywords were selected for semantic network and CONCOR analysis. TF-IDF and N-gram results indicate that subversive basic fashion involves transformative design techniques such as cutting or layering garments, emphasizing the body with thin fabrics, and creating bold visual effects. Topic modeling suggests that this fashion forms a subculture that resists mainstream norms, seeking individuality by creatively transforming the existing garments. CONCOR analysis categorized the style into six groups: forward-thinking unconventional fashion, bold and unique style, creative reworking, item utilization and combination, pursuit of easy and convenient fashion, and contemporary sensibility. Consumer actions, linked to social media, were shown to involve easily transforming and pursuing personalized styles. Furthermore, creating new styles through the existing clothing is seen as an economic and creative activity that fosters network formation and interaction. This study is significant as it addresses language expression limitations and subjectivity issues in fashion image analysis, revealing factors contributing to content reproduction through user-perceived design concepts and social media-conveyed fashion characteristics.

주제어

표/그림 (13)

그림 Figure 1. Trends Keyword Search for Subversive Basics (drawn by the author)
그림 Figure 2. Word Cloud Results (taken by the author)
표 Table 1. Results of Frequency Analysis and TF-IDF
표 Table 2. Results of Topic Modeling
표 Table 3. Results of Latent Dirichlet Allocation
그림 Figure 4. N-gram Network Analysis Results (taken by the author)
그림 Figure 3. Topic Modeling MDS Visualization (taken by the author)
표 Table 4. Results of Topic Modeling Analysis
표 Table 5. Results of Subversive Basic Fashion Trend N-gram Network Analysis
그림 Figure 5. N-Gram Network Analysis Node 17 & Edge 32 (taken by the author)
그림 Figure 6. N-Gram Network Analysis Node 31 & Edge 75 (taken by the author)
그림 Figure 7. CONCOR analysis of keywords related to subversive basics (taken by the author)
표 Table 6. Semantic Network Analysis Results

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