Forecasting airline passengers' satisfaction based on sentiments and ratings : an application of VADER and machine learning techniques
R. Murugesan, Rekha A P, Nitish N, Raghavan Balanathan
| Year of publication: |
2024
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| Authors: | Murugesan, R. ; Rekha A P ; Nitish N ; Balanathan, Raghavan |
| Published in: |
Journal of air transport management : a new international journal of research, policy and practice. - Amsterdam [u.a.] : Elsevier Science, ZDB-ID 2027741-6. - Vol. 120.2024, Art.-No. 102668, p. 1-9
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| Subject: | Airline passengers' satisfaction | Sentiment analysis | Ratings | Machine learning techniques | Künstliche Intelligenz | Artificial intelligence | Kundenzufriedenheit | Customer satisfaction | Fluggesellschaft | Airline | Passagierluftverkehr | Air passenger transport | Emotion | Prognoseverfahren | Forecasting model | Dienstleistungsqualität | Service quality |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jairtraman.2024.102668 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015084543