Local food experiences before and after COVID-19: a sentiment analysis of EWOM

IF 1.2 Q3 HOSPITALITY, LEISURE, SPORT & TOURISM

Tourism and Hospitality Management-Croatia Pub Date : 2023-01-01 DOI:10.20867/thm.29.4.1

Pimsuporn Poyoi, Ariadna Gassiout-Melian, L. Coromina

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引用次数: 0

Abstract

Purpose – To use Natural Language Processing (NLP) to explore how people feel and what they share online about their experiences with food. In addition, to learn how these experiences have evolved recently, differences before and during the crisis COVID -19 will be explored. Methodology/Design/Approach – A total of 35,001 reviews of restaurants and local cuisine establishments near tourist attractions in the city of Ayutthaya, Thailand, were extracted from the Google Local Guide platform. Several NLP techniques were used to analyse the text data, including sentiment analysis, word cloud analysis, and the N-gramme model. Findings – The results reveal travellers’ hidden sentiments toward dining experiences. Key attributes of experience sharing related to food activities in online reviews were identified both before and after COVID -19. From a theoretical perspective, the findings are relevant for researchers to recognise tourists’ behaviour in sharing local food experiences. From a practical perspective, decision makers will have a better understanding of tourist behaviour to develop and implement appropriate strategies. Originality of the research – This study is the first to analyse and interpret online reviews on Google Maps platform by applying text mining and sentiment analysis in gastronomic tourism research, especially in the context of COVID -19.

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新冠肺炎疫情前后的当地饮食体验:EWOM的情绪分析

目的-使用自然语言处理(NLP)来探索人们的感受以及他们在网上分享的食物体验。此外，为了了解这些经验最近是如何演变的，将探讨在2019冠状病毒病危机之前和期间的差异。方法/设计/方法-从谷歌本地指南平台中提取了泰国大城府旅游景点附近的餐馆和当地美食机构的35,001条评论。我们使用了几种自然语言处理技术来分析文本数据，包括情感分析、词云分析和N-gramme模型。调查结果——调查结果揭示了旅行者对就餐体验的隐藏情感。在COVID -19之前和之后，确定了在线评论中与食品活动相关的经验分享的关键属性。从理论角度来看，这些发现对研究人员认识游客分享当地美食体验的行为具有重要意义。从实际的角度来看，决策者将更好地了解游客的行为，以制定和实施适当的策略。研究的原创性——本研究首次将文本挖掘和情感分析应用于美食旅游研究，特别是在2019冠状病毒病的背景下，分析和解读谷歌地图平台上的在线评论。

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来源期刊

Tourism and Hospitality Management-Croatia HOSPITALITY, LEISURE, SPORT & TOURISM-

CiteScore

1.90

自引率

23.10%

发文量

审稿时长

15 weeks

期刊介绍： Tourism and Hospitality Management is an international, multidisciplinary, open access journal, aiming to promote and enhance research in all fields of the tourism and hospitality industry. It publishes double-blind reviewed papers and encourages an interchange between tourism and hospitality researchers, educators and managers. Editors of Tourism and Hospitality Management strongly promote research integrity and aim to prevent any type of scientific misconduct, such as: fabrication, falsification, plagiarism, redundant publication and authorship problems. All submitted manuscripts are checked using Crossref Similarity Check (iThenticate). Nurturing a scientifically based approach to research, the journal publishes original papers along with empirical research and theoretical articles that contribute to the conceptual development of tourism and hospitality management. Editors look particularly for articles about new trends, challenges and developments, as well as the application of new ideas that are likely to affect the tourism and hospitality industry. The general criteria for the acceptance of articles are: contribution to the scientific knowledge in the field of tourism and hospitality management, scientifically reliable research methodology, relevant literature review and quality of the English language.