Review of the Studies Related to COVID-19 and Tourism Using Text Mining Techniques

Abstract

This study aims to provide a roadmap for research dealing with the tourism sector. In this context, by conducting a study in the form of a literature review, researchers are informed about what has been done and what is missing. In the study, articles that have been accepted from scientific journals indexed in the SCOPUS database before January 18, 2021 and dealing with COVID-19 and tourism issues are examined. The study was carried out in two stages. In the first stage, descriptive statistics were given in terms of the region studied in the articles, the journal in which the articles were published, and the methods used in the articles from a general perspective. In the second stage, articles are divided into sections such as title, keywords, abstract, and conclusion. Each article section has been analyzed separately with text mining and clustering analysis, taking into account both single and double-word groups. As a result of analysis, it was determined that theoretical studies were carried out and quantitative methods were used in most of the studies.