How Can Tourist Reviews Reflect Governance Issues? An aspect-based sentiment study in the Greater Bay Area

Ke Jiang; Yidan Wang

doi:10.21834/e-bpj.v10iSI38.7648

Authors

Ke Jiang Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
Yidan Wang Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v10iSI38.7648

Keywords:

Latent Dirichlet Allocation, Aspect-Based Sentiment Analysis, Tourism Governance, Greater Bay Area

Abstract

This study analyzes 24,183 TripAdvisor reviews on six major attractions in Hong Kong, Macao, and Zhuhai to examine cross-regional tourism governance in the Guangdong–Hong Kong–Macao Greater Bay Area. By applying Latent Dirichlet Allocation (LDA) and Aspect-Based Sentiment Analysis (ABSA), the research uncovers concentrated negative perceptions regarding crowd management and service quality, as well as differences in governance characteristics across regions. The findings highlight the value of User-Generated Content (UGC) as evidence for governance and propose measures such as establishing collaborative platforms, early warning mechanism and digital governance tools to enhance governance effectiveness and promote high-quality tourism development.

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