Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/243089 
Year of Publication: 
2021
Citation: 
[Journal:] Journal of Tourism, Heritage & Services Marketing [ISSN:] 2529-1947 [Volume:] 7 [Volume:] 2 [Publisher:] International Hellenic University [Place:] Thessaloniki [Year:] 2021 [Pages:] 16-27
Publisher: 
International Hellenic University, Thessaloniki
Abstract: 
Purpose: Sentiment analysis is built from the information provided through text (reviews) to help understand the social sentiment toward their brand, product, or service. The main purpose of this paper is to draw an overview of the topics and the use of the sentiment analysis approach in tourism research. Methods: The study is a bibliometric analysis (VOSviewer), with a systematic and integrative review. The search occurred in March 2021 (Scopus) applying the search terms "sentiment analysis" and "tourism" in the title, abstract, or keywords, resulting in a final sample of 111 papers. Results: This analysis pointed out that China (35) and the United States (24) are the leading countries studying sentiment analysis with tourism. The first paper using sentiment analysis was published in 2012; there is a growing interest in this topic, presenting qualitative and quantitative approaches. The main results present four clusters to understand this subject. Cluster 1 discusses sentiment analysis and its application in tourism research, searching how online reviews can impact decision-making. Cluster 2 examines the resources used to make sentiment analysis, such as social media. Cluster 3 argues about methodological approaches in sentiment analysis and tourism, such as deep learning and sentiment classification, to understand the user-generated content. Cluster 4 highlights questions relating to the internet and tourism. Implications: The use of sentiment analysis in tourism research shows that government and entrepreneurship can draw and enhance communication strategies, reduce cost, and time, and mainly contribute to the decision-making process and understand consumer behavior.
Subjects: 
Sentiment analysis
tourism
bibliometrics
systematic review
integrative review
Vosviewer
JEL: 
L83
C38
Z30
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
Document Version: 
Published Version
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