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A Multi-Aspect Informed GRU: A Hybrid Model of Flight Fare Forecasting with Sentiment Analysis

This paper presents an advanced method for forecasting flight fares that combines aspect-based sentiment analysis (ABSA) with deep learning techniques, particularly the gated recurrent unit (GRU) model. This approach leverages historical airline ticket transaction data and customer reviews to better...

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Sparad:
Huvudupphov: Worku Abebe Degife, Bor-Shen Lin
Materialtyp: Artigo
Språk:Inglês
Utgiven: MDPI AG 2024-05-01
Serie:Applied Sciences
Ämnen:
aspect-based sentiment analysis
flight fare forecasting
gated recurrent unit
aspect extraction
aspect categorization
sensitivity analysis
Länkar:https://www.mdpi.com/2076-3417/14/10/4221
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