Chenyu Ye, Long Tu, Jingji Wu, Mengting Li, Huike Shi
{"title":"基于ECSPT模型和情感分析的旅游目的地图像定量分析","authors":"Chenyu Ye, Long Tu, Jingji Wu, Mengting Li, Huike Shi","doi":"10.1109/ISRA.2012.6219134","DOIUrl":null,"url":null,"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.","PeriodicalId":266930,"journal":{"name":"2012 IEEE Symposium on Robotics and Applications (ISRA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A quantitative analysis of tourist destination images based on ECSPT model and sentiment analysis\",\"authors\":\"Chenyu Ye, Long Tu, Jingji Wu, Mengting Li, Huike Shi\",\"doi\":\"10.1109/ISRA.2012.6219134\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":266930,\"journal\":{\"name\":\"2012 IEEE Symposium on Robotics and Applications (ISRA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Symposium on Robotics and Applications (ISRA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISRA.2012.6219134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Symposium on Robotics and Applications (ISRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISRA.2012.6219134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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