Identifying memorable hotel experiences: analysis of TripAdvisor reviews

Abstract

Abstract This article aims to (1) identify guests’ memorable experiences based on reviews posted on TripAdvisor, (2) identify the differences in memorable experiences due to hotel location, evaluation on TripAdvisor and consumer sentiment. The study used quantitative methods: text mining, topic modelling, and sentiment analysis. All reviews (n = 34,992) for all Warsaw hotels included on TripAdvisor (N = 99) were analysed. Seven topics of memorable experiences were identified via Latent Dirichlet Allocation analysis: five were very positive and two very negative. The content analysis of those topics allowed us to extract six positive factors which include: (1) view from the floor, (2) hotel staff and service, (3) breakfast and restaurant, (4) location and atmosphere, (5) pool, lounge, gym and spa, (6) price (value for money), as well as two negative factors: (1) noise at night, (2) booking and check-in. In addition, it was found that memorable hotel experiences differ depending on the location of the hotel in the city.