@article{ART003130920},
author={Yeryung Moon and Gaeun Son and Geonuk Nam and Hanjin Lee},
title={Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={10},
pages={11-19}
TY - JOUR
AU - Yeryung Moon
AU - Gaeun Son
AU - Geonuk Nam
AU - Hanjin Lee
TI - Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 10
PB - The Korean Society Of Computer And Information
SP - 11
EP - 19
SN - 1598-849X
AB - Online and mobile reviews strongly influence consumer behavior, especially in the service industry, and play a key role in determining customer retention and revisit rates. Systematically analyzing the information in these reviews can effectively assess how they directly influence customers' purchase decisions. In this study, we applied the existing KNU sentiment dictionary to food and beverage (F&B) review data to build a customized sentiment lexicon using N-grams based on about 10,000 reviews.
Comparing its performance with the existing dictionary, we found that the sentiment lexicon generated using the 1-gram, 2-gram, and 3-gram models had the highest accuracy, precision, recall, and F1 scores.
These results can serve as a powerful business support tool for SMEs in the F&B and grocery shopping sector, also be used to predict customer demand for technology and policy.
KW - Sentiment Analysis;Business Support;Social Impact;N-gram;Mobile Grocery Shopping
DO -
UR -
ER -
Yeryung Moon, Gaeun Son, Geonuk Nam and Hanjin Lee. (2024). Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework. Journal of The Korea Society of Computer and Information, 29(10), 11-19.
Yeryung Moon, Gaeun Son, Geonuk Nam and Hanjin Lee. 2024, "Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework", Journal of The Korea Society of Computer and Information, vol.29, no.10 pp.11-19.
Yeryung Moon, Gaeun Son, Geonuk Nam, Hanjin Lee "Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework" Journal of The Korea Society of Computer and Information 29.10 pp.11-19 (2024) : 11.
Yeryung Moon, Gaeun Son, Geonuk Nam, Hanjin Lee. Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework. 2024; 29(10), 11-19.
Yeryung Moon, Gaeun Son, Geonuk Nam and Hanjin Lee. "Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework" Journal of The Korea Society of Computer and Information 29, no.10 (2024) : 11-19.
Yeryung Moon; Gaeun Son; Geonuk Nam; Hanjin Lee. Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework. Journal of The Korea Society of Computer and Information, 29(10), 11-19.
Yeryung Moon; Gaeun Son; Geonuk Nam; Hanjin Lee. Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework. Journal of The Korea Society of Computer and Information. 2024; 29(10) 11-19.
Yeryung Moon, Gaeun Son, Geonuk Nam, Hanjin Lee. Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework. 2024; 29(10), 11-19.
Yeryung Moon, Gaeun Son, Geonuk Nam and Hanjin Lee. "Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework" Journal of The Korea Society of Computer and Information 29, no.10 (2024) : 11-19.
