Feature-basesd sentiment word selection and rating for system design

JIETA, Vol.1, no.4, pp.54-57, 2018

DOI: soon

Feature-basesd sentiment word selection and rating for system design

Jinyoung Park1), Heejung Lee2*), Jae Hyun Lee3), Hyo-won Suh4*)
1,4) Dept. of Industrial and Systems Engineering. KAIST, Daejeon, Korea
2) School of Interdisciplinary Industrial Studies. Hanyang University, Seoul, Korea
3) Department of Industrial Engineering, Daegu University

Abstract: In the digital age, analyzing online customer reviews and incorporating them into product or system design has become increasingly important. While there is a great deal of work to be done in this research community, the feature-level sentiment analysis problem is still far from solved. We provide the new practical approach which incorporated the statistical and rule-based techniques. System designers will be able to develop a strategic plan to maximize customer satisfaction with this approach.

Keyword: sentiment analysis; feature extraction; product design; system design

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