- P-ISSN1738-6764
- E-ISSN2093-7504
- KCI
ISSN : 1738-6764
Fashion Product Review Analysis of C2C Second-hand Trading Platforms Using Topic Modeling: Focusing on Bungaejangter
Abstract
This study aimed to identify key topics related to the consumption of second-hand fashion products by analyzing reviews of fashion products on a C2C second-hand trading platform. Reviews of second-hand fashion stores in Bungaejangter were collected and analyzed using text mining and Latent Dirichlet Allocation (LDA), a topic modeling technique. The topic modeling analysis resulted in the extraction of eight topics: customer service and satisfaction, wearing experience and satisfaction, product condition and customer expectations, interaction in the transaction process, gap between expectations and reality, seller friendliness and trust, overall satisfaction, quality and value assessment. The findings of this study provide valuable guidelines for developing strategies to meet customer expectations and demands in C2C-based online secondhand fashion transactions. They will contribute to enabling secondhand fashion sellers and platform operators to deliver customer-centric services and pursue sustainable growth.
- keywords
- Topic Modeling, C2C Second-hand Transaction, Fashion Products, Online Reviews of Bungaejangter, Text Mining
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