This paper uses the PRISMA methodology to explore the use of sentiment analysis (SA) and emotion detection (ED) within the airline industry. The research categorizes applications into four distinct areas: customer analysis (in which SA/ED techniques are used to process feedback from social media, review sites, and surveys, enhancing service quality and brand reputation); crisis management (focusing on the early detection of issues and timely responses during disruptions); business improvements (addressed through demand forecasting, marketing optimization, and operational adjustments using SA/ED); and analytics techniques (which reveals a shift in SA/ED from traditional lexicon-based methods to advanced machine learning, deep learning, and hybrid approaches). Overall, the findings highlight the potential of SA/ED for business strategies and data-informed decision-making within the aviation industry.