Topic modelling for theme park online reviews: analysis of Disneyland

被引:53
作者
Luo, Jian Ming [1 ]
Vu, Huy Quan [2 ]
Li, Gang [3 ,4 ]
Law, Rob [5 ]
机构
[1] City Univ Macau, Fac Int Tourism & Management, Macau, Macao, Peoples R China
[2] Deakin Univ, Dept Informat Syst & Business Analyt, Melbourne, Vic, Australia
[3] Deakin Univ, Sch Informat Technol, Melbourne, Vic 3125, Australia
[4] Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Xinjiang, Peoples R China
[5] Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Hong Kong, Peoples R China
关键词
Theme park; Disneyland; TripAdvisor; topic modelling; latent Dirichlet allocation; HOSPITALITY; PREFERENCES; TOURISM; TRAVEL; EXPERIENCE; INFORMATION; PLATFORMS; BEHAVIOR; RATINGS; SERVICE;
D O I
10.1080/10548408.2020.1740138
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:272 / 285
页数:14
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