Analysis of Sentiments in Airbnb Experiences

Julia Marti-Ochoa (), Berta Ferrer-Rosell and Eva Martin-Fuentes
Additional contact information
Julia Marti-Ochoa: University of Lleida
Berta Ferrer-Rosell: University of Lleida
Eva Martin-Fuentes: University of Lleida

A chapter in Information and Communication Technologies in Tourism 2025, 2025, pp 155-164 from Springer

Abstract: Abstract The rapid advancement of digital technology has significantly transformed the tourism industry, particularly through peer-to-peer (P2P) platforms like Airbnb, which offer personalised travel experiences. In this evolving landscape, it becomes increasingly important to analyse the sentiments conveyed in user-generated content (UGC), as they provide valuable insights into customer perceptions and preferences. This study examines the sentiments expressed by tourists in reviews of Airbnb experiences, across four major Spanish cities (Barcelona, Madrid, Valencia, and Seville) and global online experiences. The research employs sentiment analysis using the Vader method, integrated with compositional data analysis (CoDa), to quantify and compare the emotional content of these reviews. A total of 182,743 reviews were analysed across 385 experiences. The findings reveal that online and in-person experiences generate different balances of positive and negative sentiments, with categories such as cooking and art & culture eliciting higher positive sentiment. Additionally, a correlation was found between higher ratings and positive sentiments, while higher prices and longer durations were associated with more negative sentiments. These insights are crucial for optimizing experience offerings and improving customer satisfaction on platforms like Airbnb.

Keywords: Sentiment Analysis; Airbnb Experiences; Compositional Data Analysis (CoDa) (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-83705-0_13

Ordering information: This item can be ordered from
http://www.springer.com/9783031837050

DOI: 10.1007/978-3-031-83705-0_13

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().