Causal model analysis between quantity and quality for deriving ranking model of Online reviews

온라인리뷰의 랭킹모델링을 위한 양과 질의 인과모형 분석

Lee, Changyong;Kim, Keunhyung

  • Received : 2018.11.05
  • Accepted : 2019.02.19
  • Published : 2019.03.31


Purpose The purpose of this study is to analyze causal relationship between quantity and quality for deriving ranking model of Online reviews. Thus, we propose implications for deriving the ranking model for retrieving Online reviews more effectively. Design/methodology/approach We collected Online review from Tripadvisor web sites which might be a kind of world-famous tourism web sites. We transformed the natural text reviews to quantified data which consists of quantified positive opinions, quantified negative opinions, quantified modification opinions, reviews lengths and grade scores by using opinion mining technologies in R package. We executed corelation and regression analysis about the data. Findings According to the empirical analysis result, this study confirmed that the review length influenced positive opinion, negative opinion and modification opinion. We also confirmed that negative opinion and modification opinion influenced the grade score.


Online reviews;Causal model;quantity;quality;ranking model


Supported by : 제주대학교