Topic modelling for theme park online reviews: analysis of Disneyland

Jian Ming Luo, Huy Quan Vu, Gang Li, Rob Law

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

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 languageEnglish
Pages (from-to)272-285
Number of pages14
JournalJournal of Travel and Tourism Marketing
Volume37
Issue number2
DOIs
Publication statusPublished - 12 Feb 2020

Keywords

  • Disneyland
  • latent Dirichlet allocation
  • Theme park
  • topic modelling
  • TripAdvisor

ASJC Scopus subject areas

  • Tourism, Leisure and Hospitality Management
  • Marketing

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