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

Author

Ye, Chenyu ; Tu, Long ; Wu, Jingji ; Li, Mengting ; Shi, Hui

Author_Institution

HuBei Water Resource Tech. Coll., Wuhan, China

fYear

2012

fDate

3-5 June 2012

Firstpage

115

Lastpage

117

Abstract

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.

Keywords

cognition; cultural aspects; rendering (computer graphics); travel industry; ECSPT model; Emotion Formula; ROST EA; ROST NAT; environment, culture, service, promotion and tourist; factor model; former domestic; international tourism imagery; rendering; self-made software; sentiment analysis; tourism; tourist destination image; Analytical models; Cultural differences; Educational institutions; Lakes; Robots; Semantics; Software; Analysis of the Network; ECSPT model; Emotion Analysis; Microblogging Reviews; Tourist destination image;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Applications (ISRA), 2012 IEEE Symposium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4673-2205-8

Type

conf

DOI

10.1109/ISRA.2012.6219134

Filename

6219134