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Social media as a resource for sentiment analysis of Airport Service Quality (ASQ)

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  • Martin-Domingo, Luis
  • Martín, Juan Carlos
  • Mandsberg, Glen

Abstract

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 surveys conducted with passengers. Research in the field is characterized by UGC provided on specialized blogs and websites. This study utilizes London Heathrow airport's Twitter account dataset and applies the sentiment analysis (SA) technique to measure ASQ. The aim of this research is to explore how SA techniques can identify new insights beyond those provided by more traditional methods. The dataset includes 4392 tweets and the SA identifies 23 attributes that can be used for comparison with other ASQ scales. Findings indicate that the frequency of passenger references to the attributes of the scale differs significantly in some cases and that the discernment of these differences can provide actionable insights for airport management when improving airport service quality.

Suggested Citation

  • Martin-Domingo, Luis & Martín, Juan Carlos & Mandsberg, Glen, 2019. "Social media as a resource for sentiment analysis of Airport Service Quality (ASQ)," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 106-115.
    • Handle: RePEc:eee:jaitra:v:78:y:2019:i:c:p:106-115
    DOI: 10.1016/j.jairtraman.2019.01.004
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    Cited by:

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    3. Phelipe Medeiros da Rocha & Helder Gomes Costa & Glauco Barbosa da Silva, 2022. "Gaps, Trends and Challenges in Assessing Quality of Service at Airport Terminals: A Systematic Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    4. Barakat, H. & Yeniterzi, R. & Martín-Domingo, L., 2021. "Applying deep learning models to twitter data to detect airport service quality," Journal of Air Transport Management, Elsevier, vol. 91(C).
    5. Huseyin Arasli & Mehmet Bahri Saydam & Hasan Kilic, 2020. "Cruise Travelers’ Service Perceptions: A Critical Content Analysis," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    6. Thampan, Aromal & Sinha, Kapil & Gurjar, B.R. & Rajasekar, E., 2020. "Functional efficiency in airport terminals: A review on Overall and Stratified Service Quality," Journal of Air Transport Management, Elsevier, vol. 87(C).
    7. Lin, Yi-Hsin & Wu, Hanjun & He, Hang & Tsui, Kan Wai Hong, 2023. "Changes in perceptions of airport services’ attributes: An assessment of the impacts of COVID-19," Transport Policy, Elsevier, vol. 141(C), pages 116-128.
    8. Li, Lingyao & Mao, Yujie & Wang, Yu & Ma, Zihui, 2022. "How has airport service quality changed in the context of COVID-19: A data-driven crowdsourcing approach based on sentiment analysis," Journal of Air Transport Management, Elsevier, vol. 105(C).
    9. Alessandro V. M. Oliveira & Bruno F. Oliveira & Moises D. Vassallo, 2024. "Airport service quality perception and flight delays: examining the influence of psychosituational latent traits of respondents in passenger satisfaction surveys," Papers 2401.02139, arXiv.org.
    10. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    11. Oliveira, Alessandro V.M. & Oliveira, Bruno F. & Vassallo, Moisés D., 2023. "Airport service quality perception and flight delays: Examining the influence of psychosituational latent traits of respondents in passenger satisfaction surveys," Research in Transportation Economics, Elsevier, vol. 102(C).
    12. Bakır, Mahmut & Özdemir, Emircan & Akan, Şahap & Atalık, Özlem, 2022. "A bibliometric analysis of airport service quality," Journal of Air Transport Management, Elsevier, vol. 104(C).
    13. Bellizzi, Maria Grazia & Eboli, Laura & Mazzulla, Gabriella & Postorino, Maria Nadia, 2022. "Classification trees for analysing highly educated people satisfaction with airlines’ services," Transport Policy, Elsevier, vol. 116(C), pages 199-211.
    14. Saad Nor Hasliza Md & San Chin Wei & Yaacob Zulnaidi, 2023. "Twitter Sentiment Analysis of the Low-Cost Airline Services After COVID-19 Outbreak: The Case of AirAsia," Business Systems Research, Sciendo, vol. 14(2), pages 1-23, December.
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