온라인리뷰의 효과적 랭킹모델 도출 및 사례분석

Abstract

Online reviews, which would be a kind of short text documents, includes experienced story and opinions about product or services or features. The online reviews contains the evaluated results about the products or services in quantitative viewpoints as well as qualitative viewpoints. The quantitative assessment about the products would be represented as a form of star score while the qualitative assessment would be represented as a form of text sentences in online review. The text sentences in the online review includes sensitive assessments with positive or negative opinions about the products which would affect on product purchase behaviors of consumers. In this paper, we analyzed the linear regression relationship between the quantitative assessments and qualitative assessments in the online reviews. We derived implications for modeling ranking of online reviews being based on the result of linear regression relationship.