텍스트 마이닝을 이용한 미국 온라인 시장 내 김 제품에 대한 소비자 반응 분석

Abstract

While the food market is expected to continue to grow due to the revitalization of the online market in the U.S.A., an in-depth analysis is required to prepare measures to expand the entry of Korean Gim products through online to continue to increase Korea's exports. Accordingly, this study aims to identify the actual consumer response to Gim products in the U.S. online market and present implications. This study collected purchase reviews left online by U.S.A. consumers after purchasing Gim products and analyzed consumer responses through analysis methods such as topic modeling analysis, sentiment analysis, and association rule analysis. As a result of the analysis, in the topic modeling analysis, the main topics of consumers about Gim products were identified. In the sentiment analysis, consumers’ positive perception was identified, and positive comments were higher than negative comments. In addition, the positive and negative trends showed the same trend as when demand for Gim products increased worldwide. In the association rule analysis, it was possible to grasp the related word rules for Gim products that consumers think.