A quantitative analysis of tourist destination images based on ECSPT model and sentiment analysis

As the significance of the third industry grows, the tourism has gained more momentum, which renders the analysis of tourism imagery quite urgent. To meet the need, this thesis, firstly, established ECSPT model (Acronym of Environment, Culture, Service, Promotion and Tourist), the factor model based on former domestic and international tourism imagery studies. Secondly, by using the self-made software ROST NAT, data about 40 sight spots across the whole networks were captured. Combined with self-made software ROST EA and Emotion Formula, the 40 sight spots were structured in the ECSPT model, and the weight of each factor is measured.