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

Content Provider	IEEE Xplore Digital Library
Author	Chenyu Ye Long Tu Jingji Wu Mengting Li Hui Shi
Copyright Year	2012
Description	Author affiliation: College of Information Management, Wuhan University, Wuhan Hubei, China (Long Tu; Jingji Wu) \|\| School of Arts and Humanities, University of Texas at Dallas (Hui Shi) \|\| International School of Software, Wuhan University Wuhan, China (Mengting Li) \|\| HuBei Water Resource Technical College Wuhan, China (Chenyu Ye)
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.
Starting Page	115
Ending Page	117
File Size	164633
Page Count	3
File Format	PDF
ISBN	9781467322058
e-ISBN	9781467322072
DOI	10.1109/ISRA.2012.6219134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-03
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Emotion Analysis Tourist destination image Semantics Microblogging Reviews ECSPT model Lakes Educational institutions Software Cultural differences Robots Analysis of the Network
Content Type	Text
Resource Type	Article

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