Aspect based sentimental analysis for travellers' reviews

TL;DR

This paper applies aspect-based sentiment analysis to travelers' reviews of Dubai and Doha airports, providing detailed insights into specific airport services to help improve overall service quality.

Contribution

It introduces the use of aspect-based sentiment analysis for airport reviews, offering more detailed insights than general sentiment analysis methods.

Findings

Identified specific airport services needing improvement

Demonstrated the effectiveness of aspect-based sentiment analysis

Provided actionable insights for airport management

Abstract

Airport service quality evaluation is commonly found on social media, including Google Maps. This valuable for airport management in order to enhance the quality of services provided. However; prior studies either provide general review for topics discussed by travellers or provide sentimental value to tag the entire review without specifically mentioning the airport service that is behind such value. Accordingly, this work proposes using aspect based sentimental analysis in order to provide more detailed analysis for travellers reviews. This works applied aspect based sentimental analysis on data collected from Google Map about Dubai and Doha airports. The results provide tangible reasons to use aspect based sentimental analysis in order to understand more the travellers and spot airport services that are in need for improvement.