Leveraging Text Mining Techniques for Civil Aviation Service Improvement: Research on Key Topics and Association Rules of Passenger Complaints

Leveraging Text Mining Techniques for Civil Aviation Service Improvement: Research on Key Topics and Association Rules of Passenger Complaints

Airline customers will often complain to the relevant authorities if they encounter an unpleasant flight experience. The specific complaint information can directly reflect the various service problems encountered, so conducting in-depth research on public air transport passenger complaints can reve...

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Bibliographic Details
Main Authors: Huali Cai, Tao Dong, Pengpeng Zhou, Duo Li, Hongtao Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Systems
Subjects:
airline management
civil aviation
complaint analysis
text mining
sentiment analysis
topic modeling
Online Access:https://www.mdpi.com/2079-8954/13/5/325
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