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Applying deep learning models to twitter data to detect airport service quality

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  • Barakat, H.
  • Yeniterzi, R.
  • Martín-Domingo, L.

Abstract

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 passengers’ tweets about airports. The proposed framework considers tweets in any language, not just in English, to support ASQ evaluation in non-speaking English countries where passengers communicate with other languages. Accordingly, this work uses a large dataset that includes tweets in two languages (English and Arabic) and from four airports. Additionally, to extract passenger evaluations from tweets, our framework applies two different deep learning models (CNN and LSTM) and compares their results. The two models are trained with both general data and data from the aviation domain in order to clarify the effect of data type on model performance. Results show that better performance is achieved with the LSTM model when trained with domain specific data. This study has clear implications for researchers and airport managers aiming to use alternative methods to measure ASQ.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:jaitra:v:91:y:2021:i:c:s0969699720305846
    DOI: 10.1016/j.jairtraman.2020.102003
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    References listed on IDEAS

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    1. Bezerra, George Christian Linhares & Gomes, Carlos F., 2016. "Measuring airport service quality: A multidimensional approach," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 85-93.
    2. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    3. Yeh, Chung-Hsing & Kuo, Yu-Liang, 2003. "Evaluating passenger services of Asia-Pacific international airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(1), pages 35-48, January.
    4. 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.
    5. Lee, Kiljae & Yu, Chunyan, 2018. "Assessment of airport service quality: A complementary approach to measure perceived service quality based on Google reviews," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 28-44.
    6. Nghiêm-Phú, Bình & Suter, Jillian Rae, 2018. "Airport image: An exploratory study of McCarran International Airport," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 72-84.
    7. Hong, Seock-Jin & Choi, Dongho & Chae, Junjae, 2020. "Exploring different airport users’ service quality satisfaction between service providers and air travelers," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    8. Bezerra, George C.L. & Gomes, Carlos F., 2020. "Antecedents and consequences of passenger satisfaction with the airport," Journal of Air Transport Management, Elsevier, vol. 83(C).
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    Cited by:

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    2. 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.
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    5. 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).
    6. Gajewicz, Šukasz & Walaszczyk, Ewa & Nadolny, Michał & Nowosielski, Krzysztof, 2022. "Criteria of quality assessment of regional airport services - A very last picture before the COVID-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 103(C).
    7. 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).
    8. 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).
    9. Jiang, Yirui & Tran, Trung Hieu & Williams, Leon, 2023. "Machine learning and mixed reality for smart aviation: Applications and challenges," Journal of Air Transport Management, Elsevier, vol. 111(C).

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