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이커머스 유료회원제 가입자/비가입자 주요 이슈 비교: 텍스트마이닝 기법 활용
Author
우유란, 이중정, 이소현
Journal Title
인터넷전자상거래연구
Publication Year
2020
Topics
Summary
This study explored and compared the key issues between customers with and without paid membership in e-commerce. Using text mining techniques (LDA topic modeling and word frequency analysis) with customer review data, the results showed that paid members focused on membership, purchased products, events, and payment methods, while non-members focused on membership and purchased products. These findings can contribute to developing tailored marketing strategies for each customer group.
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