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On Evaluation Of Popularity Of Scenic Area Based On Internet Data

Posted on:2019-11-03Degree:MasterType:Thesis
Country:ChinaCandidate:B Y ChenFull Text:PDF
GTID:2428330563498441Subject:Software engineering
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Analyzing and understanding the sentiment state of tourists and the characteristics of spatial-temporal activities.On this basis,we research the spatial structure function of regional tourism,in order to master the influence mechanism of scenic area construction on tourists' visiting.It's of great significance for the future development of scenic spots and the improvement of regional tourism economy.At present,scholars have studied the spatial-temporal characteristics of user behavior from the perspective of spatial-temporal data,and the influence of regional spatial structure on urban economic development from a geographical perspective have been analyzed.However,the existing researches only takes into account the impact of user behavior on urban spatial structure and urban development from a macro point of view,the microcosmic effects of user attributes and user sentiments are ignored.Therefore,Lijiang as the research area is taken in this paper,with the method of web crawler,data mining,spatial analysis and software development,an sentiment analysis model for tourists is structured to analyze the sentiment characteristics of tourists.We try to excavate the influence mechanism of tourists' attributes on tourists' visiting;discuss the influence of the spatial structure function of the scenic spot on the tourists' preference;develop the popularity evaluation system for scenic spots.The main contents and conclusions are as follows:(1)Analysis of tourism sentiment based on LDA model.For the effect of thematic information on the sentiment polarity of the text have been ignored by most of the existing affective analysis methods,the LDA topic model is used to build an sentiment analysis model in this paper.Semi-supervised training is mixed to make full use of untagged corpus.The feature weight is calculated by using the position coefficient TF-IDF,to avoid the different influence of emotion words in different positions on the emotional polarity of the text.It found more effective than the traditional method by the experiment.The research found that the sentiment value of comprehensive tourism in regional scenic spots gives priority to positive sentiment,in which Old Town of Lijiang,Lugu Lake,Yulong Snow Mountain and other scenic spots have higher sentiment value.(2)Analysis on the law of tourist activities and the countermeasures for the development of scenic spots.In view of the age and gender attribute of tourists,two methods of Z and chi square are used to explore the difference between the single sample and the overall sample,and then classify and analyze the scenic spots.In view of the impact of the spatial structure of the scenic area on tourists' visiting rate,the GIS density analysis and map cartography are used to analyze scenic spots clusters in Lijiang,spatial locational relationship between groups and check-in centers.Analysis shows that the scenic area is divided into "Adolescent active pattern”,“Middle-aged and young women active pattern","Middle-aged and old men active pattern" and “General active pattern" according to the tourists' gender and age attributes.The scenic spots are divided into Old Town of Lijiang group,Yulong Snow Mountain group,Lugu Lake group according to the degree of spatial aggregation of scenic spots.Meeting the tourists' needs of different tourist factors in different scenic spots is beneficial to improve the tourists' visiting rate.Finally,the development countermeasures of improving the cluster structural functions and supporting facilities,optimizing the traffic network and the way of travel,strengthening the brand publicity and regional cooperation are proposed.(3)Construction of the popularity evaluation system of scenic spots based on Baidu API.On the basis of the research results of tourists' sentiment,attributes,spatial-temporal behavior and the spatial structure of scenic spots,this paper combined with Baidu API,complete system development with JavaScript language and database.Tourist activity states of tourists in Lijiang scenic spot from November 1,2015 to October 31,2016 are simulated,at the same time,the factors of improving tourists' visiting are analyzed,and the expected results are finally obtained.
Keywords/Search Tags:Internet data, Tourist sentiment, Tourist attributes, Spatial-temporal characteristics, Lijiang City
PDF Full Text Request
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