K.M., Muhammed Shiyas
ORCID: https://orcid.org/0000-0002-5072-6243, Banerjee, Shubhomoy, Kumar, Chitresh
ORCID: https://orcid.org/0000-0002-7466-8498 and Ganguly, Anirban
ORCID: https://orcid.org/0000-0002-9131-1060
(2026)
Harnessing AI and NLP in the Airport Industry: A Thematic Review.
In: ETLTC 2025 International Conference Series: Technology and Smart Society, 20–26 January 2025, Aizuwakamatsu, Japan.
Available at: https://doi.org/10.1063/5.0328021
Abstract
The airport industry benefits by adopting Artificial Intelligence (AI)/Natural Language Processing (NLP), improving passenger experience, service quality, and operational efficiency. This literature review examines the role of NLP in airport business management, highlighting its applications in customer experience, service quality, business process and strategy development. Through a thematic analysis, this study analyses the important themes already examined and suggests future research. It was found that current research mainly focuses on passenger insights, customer experiences, and airport service quality. Future studies should consider the influence of NLP in other areas, such as revenue generation and business development. This literature review aims to provide a deep understanding of the trends in the airport industry in adopting one of the AI technologies, NLP.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Airport Business | Airport Industry | Airport Revenue | Artificial Intelligence | Natural Language Processing |
| Subjects: | Physical, Life and Health Sciences > Computer Science Social Sciences and humanities > Social Sciences > Communication and Transportation |
| Depositing User: | Mr. Syed Anas Ali |
| Date Deposited: | 14 Jul 2026 09:22 |
| Last Modified: | 14 Jul 2026 09:22 |
| Official URL: | https://doi.org/10.1063/5.0328021 |
| URI: | https://pure.jgu.edu.in/id/eprint/12028 |
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