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Sentiment Analysis and Topic Modeling of Customer Feedback in High Passenger Traffic Airports in Europe   
Yazarlar (2)
Dr. Öğr. Üyesi Serhan KARADENİZ Dr. Öğr. Üyesi Serhan KARADENİZ
Beykoz Üniversitesi, Türkiye
Beyza Özkök
Yıldız Teknik Üniversitesi, Türkiye
Devamını Göster
Özet
The airport industry is highly competitive and rapidly growing. Airport management must understand passenger experiences and act accordingly. The aim of this study is to analyze customer reviews of European airports with passenger traffic of 20 million or more using natural language processing methods. In this context, 9,607 passenger reviews obtained from Skytrax for 21 airports were examined. As a result of the analyses, a sentiment score ranking was created for the airports, and attempts were made to define the feelings and expectations of the customers. According to the sentiment score ranking, Athens International Airport turned out as the airport with the highest sentiment score in Europe, while London Stansted Airport received the lowest score. News about the first and last ranked airports were examined in the analysis. Inferences were made based on repeated words with frequency analysis, topics …
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü SCOPUS dergilerinde yayınlanan tam makale
Dergi Adı Boğaziçi Journal Review of Social
Dergi ISSN 1300-9583 Scopus Dergi
Dergi Tarandığı Indeksler Scopus
Makale Dili İngilizce
Basım Tarihi 01-2024
Cilt No 38
Sayı 2
Sayfalar 47 / 66
DOI Numarası 10.21773/boun.38.2.1
Makale Linki http://bujournal.bogazici.edu.tr/?sayfa=5