Negative Airbnb reviews: an aspect based sentiment analysis approach

Article

Vassilikopoulou, A., Kamenidou, I. and Priporas, C. 2022. Negative Airbnb reviews: an aspect based sentiment analysis approach. EuroMed Journal of Business. https://doi.org/10.1108/emjb-03-2022-0052
TypeArticle
TitleNegative Airbnb reviews: an aspect based sentiment analysis approach
AuthorsVassilikopoulou, A., Kamenidou, I. and Priporas, C.
Abstract

Purpose (limit 100 words) The current paper aims at exploring negative aspects in reviews about Airbnb listings in Athens, Greece. Design/methodology/approach (limit 100 words) The aspect-based sentiment approach (ABSA), a subset of sentiment analysis, is used. The study analyzed 8,200 reviews, which had at least one negative aspect. Based on dependency parsing, noun phrases were extracted, and the underlying grammar relationships were used to identify aspect and sentiment terms.
Findings (limit 100 words) The extracted aspect terms were classified into three broad categories, i.e., the location, the amenities and the host. To each of them the associated sentiment was assigned. Based on the results, Airbnb properties could focus on certain aspects related to negative sentiments in order to minimize negative reviews and increase customer satisfaction.
Originality/value (limit 100 words) The study employs the ABSA, which offers more advantages in order to identify multiple conflicting sentiments in Airbnb comments, which is the limitation of the traditional sentiment analysis method.

KeywordsEmpirical Research Paper, Airbnb, Negative reviews, Aspect-based sentiment analysis, consumer behavior
PublisherEmerald Publishing Limited
JournalEuroMed Journal of Business
ISSN1450-2194
Publication dates
Online14 Jun 2022
Publication process dates
Deposited13 Jun 2022
Accepted25 May 2022
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This author accepted manuscript is deposited under a Creative Commons Attribution 4.0 International (CC BY) licence.

Digital Object Identifier (DOI)https://doi.org/10.1108/emjb-03-2022-0052
LanguageEnglish
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