@article{ART002596643},
author={SoJinSoo and Shin, Pan-Seop},
title={Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={6},
pages={81-89},
doi={10.9708/jksci.2020.25.06.081}
TY - JOUR
AU - SoJinSoo
AU - Shin, Pan-Seop
TI - Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 6
PB - The Korean Society Of Computer And Information
SP - 81
EP - 89
SN - 1598-849X
AB - Online reviews we encounter commonly on SNS, although a complex range of assessment information affecting the consumer’s preferences are included, it is general that such information is just provided by simple numbers or star ratings. Based on those review types, it is not easy to get specific information that consumers want and use it to make a decision for purchase. Therefore, in this study, we propose a prediction methodology that can provide ratings broken down by evaluation items by performing sentiment analysis on restaurant reviews written in Korean. To this end, we select ‘food’, ‘price’, ‘service’, and ‘atmosphere’ as the main evaluation items of restaurants, and build a new sentiment dictionary for each evaluation item. It also classifies review sentences by rating item, predicts granular ratings through sentiment analysis, and provides additional information that consumers can use to make decisions. Finally, using MAE and RMSE as evaluation indicators it shows that the rating prediction accuracy of the proposed methodology has been improved than previous studies and presents the use case of proposed methodology.
KW - Text Mining;Opinion Mining;Sentiment Analysis;Sentiment Dictionary;Rating Prediction
DO - 10.9708/jksci.2020.25.06.081
ER -
SoJinSoo and Shin, Pan-Seop. (2020). Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review. Journal of The Korea Society of Computer and Information, 25(6), 81-89.
SoJinSoo and Shin, Pan-Seop. 2020, "Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review", Journal of The Korea Society of Computer and Information, vol.25, no.6 pp.81-89. Available from: doi:10.9708/jksci.2020.25.06.081
SoJinSoo, Shin, Pan-Seop "Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review" Journal of The Korea Society of Computer and Information 25.6 pp.81-89 (2020) : 81.
SoJinSoo, Shin, Pan-Seop. Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review. 2020; 25(6), 81-89. Available from: doi:10.9708/jksci.2020.25.06.081
SoJinSoo and Shin, Pan-Seop. "Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review" Journal of The Korea Society of Computer and Information 25, no.6 (2020) : 81-89.doi: 10.9708/jksci.2020.25.06.081
SoJinSoo; Shin, Pan-Seop. Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review. Journal of The Korea Society of Computer and Information, 25(6), 81-89. doi: 10.9708/jksci.2020.25.06.081
SoJinSoo; Shin, Pan-Seop. Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review. Journal of The Korea Society of Computer and Information. 2020; 25(6) 81-89. doi: 10.9708/jksci.2020.25.06.081
SoJinSoo, Shin, Pan-Seop. Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review. 2020; 25(6), 81-89. Available from: doi:10.9708/jksci.2020.25.06.081
SoJinSoo and Shin, Pan-Seop. "Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review" Journal of The Korea Society of Computer and Information 25, no.6 (2020) : 81-89.doi: 10.9708/jksci.2020.25.06.081
