Application of Text Mining Approaches in Hospitality and Tourism

Abstract

The purpose of this chapter is to shed light on researchers and practitioners about sentiment analysis in hospitality and tourism. The technical details described throughout the chapter with a case study to provide clarifying insights. The proposed chapter adds significantly to the body of text mining knowledge by combining a technical explanation with a relevant case study. The case study used supervised machine learning to predict overall star ratings based on 20,247 comments related to Royal Caribbean International services for determining the impact of cruise travel experiences on the evaluation company process. The results indicate that travelers evaluate their travel experiences according to the most intense negative or positive feelings they have about the company.

Citation

Öztürk, G. and Tanrisevdi, A. (2022), "Application of Text Mining Approaches in Hospitality and Tourism", Okumus, F., Rasoolimanesh, S.M. and Jahani, S. (Ed.) Advanced Research Methods in Hospitality and Tourism, Emerald Publishing Limited, Leeds, pp. 145-162. https://doi.org/10.1108/978-1-80117-550-020221008