IJIMT 2017 Vol.8(2): 95-99 ISSN: 2010-0248
doi: 10.18178/ijimt.2017.8.2.710

A Study of Evaluating of Game Review Data Using Multiple Regression

Lee-Sac Lee, Sang-Hyun Lee, and Hyun-Seok Hwang
Abstract— As the use of the Internet increase, online reviews also become popular. Usefulness of the reviews can help people to decide product purchase. Many previous researches show that if the quality of reviews was high, the sales volume of that product would increase. Therefore, we investigated that what factors in the reviews can affect the reviewer’s evaluation results. We perform a case study of popular online game reviews, STEAM community review, to identify the influencing variables in review data set using multiple regression method. We also conduct sentiment analysis of review comments to mashup sentiment results to original data set. We will provide analysis results and interpretation of the results with further research directions.

Index Terms— Game data analysis, multiple linear regression model, online review.

Lee-Sac Lee and Sang-Hyun Lee are with the Graduate School of Interaction Design, Hallym University, Chun-Cheon, Republic of Korea (e-mail: isaac6143@naver.com, s038987@naver.com).
Hyun-Seok Hwang is with the Business Administration Department, Hallym University, Chun-Cheon, Republic of Korea (e-mail: hshwang@hallym.ac.kr).

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Cite: Lee-Sac Lee, Sang-Hyun Lee, and Hyun-Seok Hwang, " A Study of Evaluating of Game Review Data Using Multiple Regression," International Journal of Innovation, Management and Technology vol. 8, no. 2, pp. 95-99, 2017.

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