Exploring preferences and sustainable attitudes of Airbnb green users in the review comments and ratings: a text mining approach

The sharing economy platforms for accommodation have emerged as adisruptive model that has revolutionized the tourist lodging sector andmodified tourist consumption patterns. Airbnb is the paradigm of thisbusiness model, with approximately 300 million users and more than 7million listings worldwide. However, studies that have attempted toexplore the consumer experiences of green Airbnb users are still scarce,especially those using big data approaches. The present study exploresthe preferences and attitudes of green Airbnb users by analyzing theonline review published in Inside Airbnb using text mining and sentimentanalysis. Findings reveal six latent aspects among which the“sustainability” predominates in the online opinions of green Airbnbusers, situating sustainability in relation to the most positive emotion ofthe Plutchik model. Moreover, the results of the analysis suggest a positivitybias in the online reviews of green Airbnb users. Managerial implicationsfor sustainability, consumer behavior management, andmarketing fields are discussed.