Research on Customer Satisfaction in Cruise Ship Tourism Based on Big Data Analytics

This research uses Python technology to capture traveler review data from online travel websites (OTAs) such as Ctrip.com, Dianping.com and TripAdvisor.com to analyze in-depth the satisfaction of international cruise travelers in the Asian market. The research adopts a variety of research methods, including text analysis, word frequency analysis and sentiment analysis, and focuses on three major cruise groups: Carnival Cruise Line's Majestic Princess, Royal Caribbean Cruise Line's Spectrum of the Seas, and Norwegian Joy. The core objective is to gain a comprehensive understanding of the perceived preferences and differentiated needs of Asian cruise travelers. By digging deeper into the big data, we will be able to analyze the challenges and opportunities for improvement for cruise groups in the Asian market. Finally, by combining consumer behavioral research with the tourism market, the study proposes recommendations and directions for international cruise groups to improve customer satisfaction in the Asian market. The study reveals the main factors affecting tourist satisfaction for the three major cruise groups in four areas, including cruise facilities, cruise services, family traveling services and tourist perceptions, which is expected to promote the sustainable development of cruise tourism in Asia.