Multiclass Sentiment Prediction of Airport Service Online Reviews Using Aspect-Based Sentimental Analysis and Machine Learning
Airport service quality ratings found on social media such as Airline Quality and Google Maps offer invaluable insights for airport management to improve their quality of services. However, there is currently a lack of research analysing these reviews by airport services using sentimental analysis a...
Main Authors: | Mohammed Saad M. Alanazi, Jun Li, Karl W. Jenkins |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/12/5/781 |
Similar Items
-
Sentimental Approach to Airline Service Quality Evaluation
by: Benedikt Badanik, et al.
Published: (2023-10-01) -
Airline fleet planning and airport construction /
by: 430602 Courtney, J. L. -
Airport finance and investment in the global economy /
by: Graham, Anne, 1958- author, et al.
Published: (2017) -
Congestion delays at hub airports
by: St. George, Martin J.
Published: (2012) -
Predicting passengers’ feedback rate for airport service quality
by: Mohammed Saad M. Alanazi, et al.
Published: (2024-03-01)