This study aims to investigate the possible relationship between the mechanisms of social influence and the choice of airline, through the use of new tools, with the aim of understanding whether they can contribute to a better understanding of the factors influencing the decisions of consumers in the aviation sector. We have chosen to extract user reviews from well-known platforms: Trustpilot, Google, and Twitter. By combining web scraping techniques, we have been able to collect a comprehensive dataset comprising a wide range of user opinions, feedback, and ratings. We then refined the BERT model to focus on insightful sentiment in the context of airline reviews. Through our analysis, we observed an intriguing trend of average negative sentiment scores across various airlines, giving us deeper insight into the dynamics between airlines and helping us identify key partnerships, popular routes, and airlines that play a central role in the aeronautical ecosystem of Catania airport during the specified period. Our investigation led us to find that, despite an airline having received prestigious awards as a low-cost leader in Europe for two consecutive years 2021 and 2022, the "Catanese" user tends to suffer the dominant position of other companies. Understanding the impact of positive reviews and leveraging sentiment analysis can help airlines improve their reputation, attract more customers, and ultimately gain a competitive edge in the marketplace.

本研究通过调查社会影响机制与航空公司选择之间的可能关系，从而理解影响消费者在航空业做出决策的因素是否可以提供新的工具，选择从包括用户评论、反馈和评分的综合数据集中提取信息，并通过情感分析来识别关键合作伙伴、流行路线和在指定时间段内在卡塔尼亚机场航空生态系统中发挥核心作用的航空公司的负面情绪趋势，从而帮助航空公司提高声誉、吸引更多客户，并在市场上获得竞争优势。

用户评论的强大力量：挖掘意大利卡塔尼亚机场的航空公司选择