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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Autors principals:	Worku Abebe Degife, Bor-Shen Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-05-01
Col·lecció:	Applied Sciences
Matèries:	aspect-based sentiment analysis flight fare forecasting gated recurrent unit aspect extraction aspect categorization sensitivity analysis
Accés en línia:	https://www.mdpi.com/2076-3417/14/10/4221
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