Affiliation:
1. College of Tourism and Service Management, Nankai University, Tianjin, China
Abstract
Despite numerous studies that adopt text analysis in tourism and hospitality published in the past decade, a comprehensive review of this topic is still lacking. This study endeavors to bridge this gap by conducting a systematic review of text analysis research published in the top five journals in tourism and hospitality between 2013 and 2023. From a thematic analysis perspective, this paper provides an elaborate description of how text data can be utilized for prediction and understanding purposes. Specifically, the prediction scenarios encompass hotels, destinations, and restaurants, while the understanding aspect focuses on tourists, firms, destinations, and academic researches within this domain. From a methodological perspective, this paper offers an in-depth exploration of data sources, tools or methodologies, processing procedures, and commonly utilized metrics in text analysis. The paper concludes by proposing a summary framework for text analysis research while highlighting future research trends, opportunities, and challenges in this domain.
Funder
National Natural Science Foundation of China
Cited by
1 articles.
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