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Analysis Of City Tourism Satisfaction Based On Online Review

Posted on:2024-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:J W ShangFull Text:PDF
GTID:2569306914997419Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
Tourism is developing rapidly in contemporary times,and the tourism economy has slowly become an indispensable part of the economic development of various regions.Harbin is the capital city of Heilongjiang Province.Located in northeast China,Northeast Asia is an important political,economic and cultural center,and is known as the pearl of the Eurasian land bridge.As a heavy industry development area,the northeast region has been in a leading position in the country in economic development within a certain period of time.However,with the development of the times,the economic development of the northeast region has gradually lagged behind,so it is necessary to consider the way out of development in many aspects.Harbin is a national historical and cultural city,with natural geographical advantages,and is an internationally famous city of ice and snow culture and ice tourism,and has always been known as “Moscow of the East”and “Little Paris of the East”.Based on the holding of the Winter Olympics,the ice and snow tourism industry has prospered,and Harbin should seize this wave of climax,vigorously develop tourism as a pillar,and seize economic development,which is also the starting point of this study.Firstly,this paper introduces the basic research methods and the current research status at home and abroad,and expounds the purpose and significance of thesis research.Secondly,the design of the questionnaire and the basic descriptive statistical analysis are given,and the IPA satisfaction analysis of the questionnaire data is carried out and the factors affecting satisfaction are given.Finally,based on crawled online review data,this paper conducts sentiment analysis on Harbin Internet celebrity attractions,uses machine learning and deep learning methods,evaluates the model performance through three indicators,and concludes that satisfactory review are dominant,LDA theme analysis and K-Means clustering based on review also give factors affecting satisfaction,and also establishes IPA model based on online review data,and the conclusions obtained have certain reference significance for promoting the development of Harbin’s tourism economy and improving Harbin’s tourism satisfaction.
Keywords/Search Tags:online review, satisfaction, machine learning, sentiment analysis
PDF Full Text Request
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