情绪在高级餐厅在线评论中的作用:语义网络分析和机器学习算法的应用

IF 2.9 Q2 HOSPITALITY, LEISURE, SPORT & TOURISM
M. Oh, S. Kim
{"title":"情绪在高级餐厅在线评论中的作用:语义网络分析和机器学习算法的应用","authors":"M. Oh, S. Kim","doi":"10.1080/15256480.2021.1881938","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study attempts to investigate basic emotions incorporated in online reviews of fine dining Cantonese restaurants in Hong Kong and to investigate antecedents and consequences according to each emotion. This study adopts semantic network analysis and a machine learning algorithm to achieve its research objectives. A total of 2,118 reviews were used for the analysis. Five emotions – joy, sadness, disgust, surprise, and anger – accounted for 72% of prediction accuracy. Given that the five types of emotions in this study were closely associated with service, food, and reputation, the three components are considered the core elements of a fine dining restaurant experience. Results of this study imply that restaurants should understand customers’ emotion based on big data analysis. The integration of emotion theory and practical implications can provide meaningful evidence on how to capitalize on big data.","PeriodicalId":46737,"journal":{"name":"International Journal of Hospitality & Tourism Administration","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2021-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15256480.2021.1881938","citationCount":"17","resultStr":"{\"title\":\"Role of Emotions in Fine Dining Restaurant Online Reviews: The Applications of Semantic Network Analysis and a Machine Learning Algorithm\",\"authors\":\"M. Oh, S. Kim\",\"doi\":\"10.1080/15256480.2021.1881938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This study attempts to investigate basic emotions incorporated in online reviews of fine dining Cantonese restaurants in Hong Kong and to investigate antecedents and consequences according to each emotion. This study adopts semantic network analysis and a machine learning algorithm to achieve its research objectives. A total of 2,118 reviews were used for the analysis. Five emotions – joy, sadness, disgust, surprise, and anger – accounted for 72% of prediction accuracy. Given that the five types of emotions in this study were closely associated with service, food, and reputation, the three components are considered the core elements of a fine dining restaurant experience. Results of this study imply that restaurants should understand customers’ emotion based on big data analysis. The integration of emotion theory and practical implications can provide meaningful evidence on how to capitalize on big data.\",\"PeriodicalId\":46737,\"journal\":{\"name\":\"International Journal of Hospitality & Tourism Administration\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2021-02-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/15256480.2021.1881938\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Hospitality & Tourism Administration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15256480.2021.1881938\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality & Tourism Administration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15256480.2021.1881938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 17

摘要

摘要本研究试图调查香港粤菜餐厅在线评论中包含的基本情绪,并根据每种情绪调查其前因和后果。本研究采用语义网络分析和机器学习算法来实现其研究目标。共使用了2118篇综述进行分析。五种情绪——喜悦、悲伤、厌恶、惊讶和愤怒——占预测准确率的72%。考虑到本研究中的五种情绪与服务、食物和声誉密切相关,这三个组成部分被认为是优质餐厅体验的核心要素。这项研究的结果表明,餐馆应该基于大数据分析来理解顾客的情绪。情感理论和实践意义的结合可以为如何利用大数据提供有意义的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Emotions in Fine Dining Restaurant Online Reviews: The Applications of Semantic Network Analysis and a Machine Learning Algorithm
ABSTRACT This study attempts to investigate basic emotions incorporated in online reviews of fine dining Cantonese restaurants in Hong Kong and to investigate antecedents and consequences according to each emotion. This study adopts semantic network analysis and a machine learning algorithm to achieve its research objectives. A total of 2,118 reviews were used for the analysis. Five emotions – joy, sadness, disgust, surprise, and anger – accounted for 72% of prediction accuracy. Given that the five types of emotions in this study were closely associated with service, food, and reputation, the three components are considered the core elements of a fine dining restaurant experience. Results of this study imply that restaurants should understand customers’ emotion based on big data analysis. The integration of emotion theory and practical implications can provide meaningful evidence on how to capitalize on big data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Hospitality & Tourism Administration
International Journal of Hospitality & Tourism Administration HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
6.30
自引率
8.60%
发文量
39
期刊介绍: The International Journal of Hospitality & Tourism Administration is an applied, internationally oriented hospitality and tourism management journal designed to help practitioners and researchers stay abreast of the latest developments in the field as well as facilitate the exchange of ideas. The journal addresses critical competency areas that will help practitioners be successful in this growing field now and into the future. An exciting and challenging international forum, the journal reflects current happenings and trends in the industry.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信