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Social media as a resource for sentiment analysis of Airport Service Quality (ASQ)
(Elsevier, 2019-07)
User generated content (UGC) is providing new broad information datasets about airport service quality (ASQ) that are more easily available to researchers than information gathered using traditional techniques, such as ...
Exploiting user-generated content for service improvement: Case airport twitter data
(Springer, 2022-09)
The study illustrates how airport collaborative networks can profit from the richness of data, now available due to digitalization. Using a co-creation process, where the passenger generated content is leveraged to identify ...
An evaluation of airport service experience: An identification of service improvement opportunities based on topic modeling and sentiment analysis
(Elsevier, 2022-06)
With the increase in airport alternatives and airport service variation, passengers' perception of the airport experience has changed. By working with consumer experience through customer reviews, this study aims to define ...
Applying deep learning models to twitter data to detect airport service quality
(Elsevier, 2021-03)
Measuring airport service quality (ASQ) is an important process for identifying shortages and suggesting improvements that guide management decisions. This research, introduces a general framework for measuring ASQ using ...
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