Conversational AI has seen a growing interest among government, researchers, and
industrialists. This comprehensive survey paper provides an in-depth analysis of large …

This paper presents an advanced method for forecasting flight fares that combines aspect-
based sentiment analysis (ABSA) with deep learning techniques, particularly the gated …

Water is one of the most basic and essential resources for life and is also a strategic
component for the development of the economies of the different countries of the planet. The …

Airline ticket pricing is a complex and dynamic process influenced by various factors,
including demand fluctuations, seasonal variations, and competitive strategies. Accurate …

Airline fares are subject to fluctuations based on a range of factors, including flight
schedules, destinations, and seasonal trends. The ticket prices are subject to change …

Both travelers and airline companies rely on accurate prediction of flight prices, nevertheless
it is difficult to train machine learning models using large-scale, current flight datasets due to …

The aviation sector is dynamic and always evolving, and the fluctuating cost of tickets makes
it difficult for travelers to plan their trips affordably and plan a trip economically. The …

Abstract Machine learning and deep learning techniques are widely used in various
domains to solve different problems. The prediction and recommendation type of problems …