Title
Profiling Macau cultural tourists by using user-generated content from online social media.
Abstract
The topic of constructing a typology of the cultural tourists visiting a particular destination has interested the professionals since early 1990s. A number of typologies, often quite similar to each other, have been proposed and occasionally evaluated at various destinations. While most of the literature is purely conceptual, some works use typological frameworks to empirically categorize cultural tourists at a particular destination sourcing from survey results, typically by administrating a questionnaire to inbound and outbound travelers. This work, to the contrary, constructs an empirical typology of international cultural tourists who have visited Macau based on their reviews on TripAdvisor. The aim of this work is to discover visitation patterns to the nucleus of Macau’s culture by analyzing user-generated content data using text analysis approaches. This model can automatically indicate the probability of a visitor being one particular culture tourist type. The results of this work will offer insights into local tourism authorities and industries for better resource allocation and cultural tourism promotion.
Year
DOI
Venue
2018
10.1007/s40558-018-0120-0
J. of IT & Tourism
Keywords
Field
DocType
Cultural tourist typology, User-generated content, Social media, Text mining, Macau
User-generated content,Social media,Computer science,Tourism,Typology,Resource allocation,Cultural tourism,Visitor pattern,Marketing,Destinations
Journal
Volume
Issue
ISSN
20
1-4
1943-4294
Citations 
PageRank 
References 
0
0.34
1
Authors
5
Name
Order
Citations
PageRank
Shanshan Qi1156.19
Cora Un In Wong200.34
Ning Chen300.34
Jia Rong4887.39
Jiahua Du582.21