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.

翻译：本研究旨在通过新型工具探究社会影响机制与航空公司选择之间的潜在关联，以理解其能否为航空领域消费者决策影响因素提供更深入的认知。我们选取了Trustpilot、谷歌和推特等知名平台上的用户评论，通过结合网络爬虫技术收集了涵盖广泛用户意见、反馈和评分的综合数据集。随后对BERT模型进行优化，聚焦于航空评论语境中的情感洞察。分析显示，各航空公司的平均负面情感得分呈现耐人寻味的趋势，这使我们能够更深入地洞察航空公司间的动态关系，并识别出指定时期内卡塔尼亚机场航空生态系统中发挥核心作用的战略伙伴关系、热门航线及航空公司。研究发现：尽管某航空公司连续两年（2021-2022年）荣获欧洲低成本航空领军者殊荣，但"卡塔尼亚"用户群体倾向于承受其他公司的主导地位。理解正面评论的影响力并运用情感分析，可帮助航空公司提升声誉、吸引更多客户，最终在市场中获得竞争优势。