Abstract
This study introduces topic modelling into the analysis of theme park online reviews to determine visitor behaviour and experiences. An exploratory analysis involving major Disneyland theme parks is presented using a large-scale review data set. A comprehensive list of the topics discussed by visitors when visiting Disneyland theme parks is constructed. Insights into the interests and concerns of various visitor groups across theme parks are revealed. The proposed approach and findings are beneficial to support theme park managers in understanding visitors’ perception, through which effective marketing and improvement plans can be developed to attract and retain future customers.
| Original language | English |
|---|---|
| Pages (from-to) | 272-285 |
| Number of pages | 14 |
| Journal | Journal of Travel and Tourism Marketing |
| Volume | 37 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 12 Feb 2020 |
Keywords
- Disneyland
- latent Dirichlet allocation
- Theme park
- topic modelling
- TripAdvisor
ASJC Scopus subject areas
- Tourism, Leisure and Hospitality Management
- Marketing