#6381. An analysis of Airbnb online reviews: user experience in 16 U.S. cities
December 2026 | publication date |
Proposal available till | 21-06-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Tourism, Leisure and Hospitality Management;
Computer Science Applications;
Information Systems; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Purpose: This study aims to provide an in-depth understanding of the complex nature of Airbnb user experience by analyzing the pattern and sentiment of online reviews and assessing the relationships among review scores. Design/methodology/approach: Big data analysis is conducted using Airbnb users’ online reviews of 16 US cities; correlation is run on review scores.
Keywords:
Airbnb online reviews; Big data analysis; Customer experience; Leximancer 4.0
Contacts :