Advanced SearchSearch Tips
System Design for Analysis and Evaluation of E-commerce Products Using Review Sentiment Word Analysis
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
System Design for Analysis and Evaluation of E-commerce Products Using Review Sentiment Word Analysis
Choi, Jieun; Ryu, Hyejin; Yu, Dabeen; Kim, Nara; Kim, Yoonhee;
As smartphone usage increases, the number of consumers who refer to review data of e-commercial products using web sites and SNS is also explosively multiplying. However, reading review data using traditional websites and SNS is time consuming. Also, it is impossible for consumers to read all the reviews. Therefore, a system that collects review data of products and conducts sentiment word analysis of the review is required to provide useful information. The majority of systems that provide such information inadequately reflect the properties of the product. In this study, we described a system that provides analysis and evaluation of e-commerce products through review sentiment words as reflected properties of the product. Furthermore, the system enables consumers to access processed information about reviews quickly and in visual format.
review analysis system;sentiment analysis;sentiment dictionary;e-commerce products;
 Cited by
사용자 리뷰의 평가기준 별 이슈 식별 방법론: 호텔 리뷰 사이트를 중심으로,변성호;이동훈;김남규;

지능정보연구 , 2016. vol.22. 3, pp.23-43 crossref(new window)
Methodology for Identifying Issues of User Reviews from the Perspective of Evaluation Criteria: Focus on a Hotel Information Site, Journal of Intelligence and Information Systems, 2016, 22, 3, 23  crossref(new windwow)
skyscanner [Online]. Available:

Extreme Movie [Online]. Available:

Park In Woong, Booktree book management [Online]. Available:

Nine9Team, This book&That book [Online]. Available:

KYOBO Book [Online]. Available:

Areum Lee, Jiseon Bang, Yoonhee Kim, "A Design of TV Advertisement Effectiveness Analysis System Using SNS Big-data," Journal of KIISE Transactions on Computing Practices, Vol. 21, No. 9, pp. 579-586, Sept. 2015. (in Korean) crossref(new window)

Seoyeon Hur, Yoonhee Kim, "A Design of Analysis System on TV Advertising Effect of Social Networking Using Hadoop," Journal of Korean Society for Internet Information, Vol. 14, No. 6, pp. 49-57, Dec. 2013. (in Korean)

Gi young Kim, Haiin Lee, Suhwan Yook, Woojin Paik, "Customer Preference Identification System using Natural Language Processing-based Analysis and Automatic Classification of Product Reviews," Proc. of the Korea Society for Information Management 2009, pp. 65-70, 2009. (in Korean)

Jung-Yeon Yang, Jaeseok Myung, Sang-goo Lee, "A product review summarization system using a scoring of features," Proc. of the Society for e-Business Studies, pp. 339-347. 2008. (in Korean)

Ho Geun Lee, Hyun Kwak, "Investigation of Factors Affecting the Effects of Online Consumer Reviews," Journal of National Information Society Agency : Informatization policy, Vol. 20, No. 3, pp. 3-17, 2013. (in Korean)

Hanhoon Kang, Seong Joon Yoo, Dongil Han, "Automatic Extraction of Opinion Words from Korean Product Reviews Using the k-Structure," Journal of KISS : Software and Applications, Vol. 37, No. 6, pp. 470-479, Jun. 2010. (in Korean)

Korean POS Tagger Jhannanum-0.8.4 [Online]. Available:

R-3.1.2 [Online]. Available:

SOCIALl insight [Online]. Available:

Aladin [Online]. Available:

YES24 [Online]. Available:

Korea library Association, Korean Decimal Classification Table(KDC) [Online]. Available: