{"title":"Review of the Studies Related to COVID-19 and Tourism Using Text Mining Techniques","authors":"Burcu Kartal, M. Sert","doi":"10.4018/978-1-7998-8231-2.ch043","DOIUrl":"https://doi.org/10.4018/978-1-7998-8231-2.ch043","url":null,"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.","PeriodicalId":374862,"journal":{"name":"Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry","volume":"2022 28","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134476267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Online Hotel Reviews During the COVID-19 Pandemic Using Topic Modeling","authors":"Özlem Ergüt","doi":"10.4018/978-1-7998-8231-2.ch023","DOIUrl":"https://doi.org/10.4018/978-1-7998-8231-2.ch023","url":null,"abstract":"The world is facing the COVID-19 pandemic that has impacted economies and millions of people worldwide. The fact that COVID-19 is highly contagious from person to person has greatly affected the daily lives of people, and it has also had a devastating effect on many sectors, particularly the tourism industry. In order to mitigate losses for the tourism sector and for it to gain a new dynamism under the current pandemic conditions, monitoring and analyzing online reviews is an important factor for better understanding the needs and desires of customers. The purpose of this study was to determine the main topics in online reviews by foreign guests staying in İstanbul during the pandemic period using text mining techniques. The information obtained as a result of the analysis is important in terms of understanding how to manage the current situation, developing suggestions for solutions, improving service quality, making future decisions, and adapting to the new normal.","PeriodicalId":374862,"journal":{"name":"Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133563514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}