Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review

Abstract

Purpose: Sentiment is built from the information provided through text (reviews) to help understand the social 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 approach in research. Methods: The study is a bibliometric (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 pointed out that China (35) and the United States (24) are the leading countries studying with tourism. The first paper using 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 and its application in research, searching how online reviews can impact decision-making. Cluster 2 examines the resources used to make analysis, such as social media. Cluster 3 argues about methodological approaches in and tourism, such as deep learning and classification, to understand the usergenerated content. Cluster 4 highlights questions relating to the internet and tourism. Implications: The use of in research shows that government and entrepreneurship can draw and enhance communication strategies, reduce cost, and time, and mainly contribute to the decisionmaking process and understand consumer behavior.