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오피니언 마이닝을 통한 국내와 수입 의류 제품에 대한 고객 평판 연구
이종화(Jonghwa Lee),레환수(Hoanhsu Le),이현규(Hyun-Kyu Lee) 한국인터넷전자상거래학회 2015 인터넷전자상거래연구 Vol.15 No.3
The increasement of buyers in E-commerce has affected customers" purchase behavior and informations through social network help customers check other customers’ reviews before deciding to buy products. Today, most shopping malls are providing prior customers" opinions such as reviews, sales volume, ratings, comments and number of page views and these opinions influence customers" decision in various ways. Also, noticeable aspect in shopping mall today is that import products from several countries around the world are sold by domestic shopping malls. Several market research reports showed that sales of clothes, health food and cosmetics are steadily increasing recently. In this study, to compare customers’ responses between domestic and imported products, we collected more than one hundred thousand of prior customers" reviews on domestic and imported fashion clothes and analyzed reviews through a big data analytic technique of opinion mining. By comparing reviews in purchase process of shopping mall, we discovered the issues in purchasing process and found the positive and negative aspect in purchasing process as well as product origins. In conclusion, we found that opinion mining is useful in analyzing online shopping mall customer needs.
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