Forecasting airline passengers’ satisfaction based on sentiments and ratings: An application of VADER and machine learning techniques
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Publisher
Elsevier BV
Reference34 articles.
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2. Artificial neural networks and data science;Bihl,2023
3. Factors affecting airline brand love, passengers' loyalty, and positive word-of-mouth. A case study of royal air maroc;Boubker;Case Studies on Transport Policy,2022
4. Understanding airline passengers during covid-19 outbreak to improve service quality: topic modeling approach to complaints with Latent Dirichlet allocation algorithm;Çallı;Transport. Res. Rec.: J. Transport. Res. Board,2022
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1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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