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@article{ART002571301},
author={LEE Kwang HO and Namgyu Kim},
title={Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={3},
pages={207-218},
doi={10.9708/jksci.2020.25.03.207}

TY - JOUR
AU - LEE Kwang HO
AU - Namgyu Kim
TI - Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 3
PB - The Korean Society Of Computer And Information
SP - 207
EP - 218
SN - 1598-849X
AB - Recently, due to the increase of online reviews and the development of analysis technology, the interest and demand for online review analysis continues to increase. However, previous studies have not considered the emotions contained in each vocabulary may differ from one reviewer to another. Therefore, this study first classifies the customer group according to the customer's grade, and presents the result of analyzing the difference by performing review analysis for each customer group. We found that the price factor had a significant influence on the evaluation of products for customers with high ratings. On the contrary, in the case of low-grade customers, the degree of correspondence between the contents introduced in the mall and the actual product significantly influenced the evaluation of the product. We expect that the proposed methodology can be effectively used to establish differentiated marketing strategies by identifying factors that affect product evaluation by customer group.
KW - Attention Mechanism;Big Data;Deep Learning;Review Analysis;Text Analytics
DO - 10.9708/jksci.2020.25.03.207
ER -

LEE Kwang HO and Namgyu Kim. (2020). Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism. Journal of The Korea Society of Computer and Information, 25(3), 207-218.

LEE Kwang HO and Namgyu Kim. 2020, "Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism", Journal of The Korea Society of Computer and Information, vol.25, no.3 pp.207-218. Available from: doi:10.9708/jksci.2020.25.03.207

LEE Kwang HO, Namgyu Kim "Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism" Journal of The Korea Society of Computer and Information 25.3 pp.207-218 (2020) : 207.

LEE Kwang HO, Namgyu Kim. Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism. 2020; 25(3), 207-218. Available from: doi:10.9708/jksci.2020.25.03.207

LEE Kwang HO and Namgyu Kim. "Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism" Journal of The Korea Society of Computer and Information 25, no.3 (2020) : 207-218.doi: 10.9708/jksci.2020.25.03.207

LEE Kwang HO; Namgyu Kim. Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism. Journal of The Korea Society of Computer and Information, 25(3), 207-218. doi: 10.9708/jksci.2020.25.03.207

LEE Kwang HO; Namgyu Kim. Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism. Journal of The Korea Society of Computer and Information. 2020; 25(3) 207-218. doi: 10.9708/jksci.2020.25.03.207

LEE Kwang HO, Namgyu Kim. Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism. 2020; 25(3), 207-218. Available from: doi:10.9708/jksci.2020.25.03.207

LEE Kwang HO and Namgyu Kim. "Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism" Journal of The Korea Society of Computer and Information 25, no.3 (2020) : 207-218.doi: 10.9708/jksci.2020.25.03.207