Study Of Emotional Characteristics Of Tourist In Urban Park Based On Big Data Of Social Media

As the big data technology into all walks of life,with location-based services such as weibo social media data received wide attention in the field of urban green space research,its advantage is carrying the geospatial information,a large number of users and access to the rich,for the green space research opens a new way of information acquisition,to expand the size of the sample,improve the scientificity and accuracy To probe into the existing urban park visitors emotional characteristics,this study built in hangzhou has different types of urban park as the object,through the weibo of data,the text emotion value calculation,word frequency technology,GIS technology,methods of geographic concentration index,surrounding the city park the tourists’ emotional characteristics,structure and characteristics of time and space,tourists emotional factors affecting study and application of three contents.First of all,according to the registration information,sending time and text of weibo,the tourist structure and tourist behavior preference are analyzed The results show that the tourists in various parks show different gender,origin structure,travel time,behavior and attraction preferenceSecondly,using BosonNLP engine to calculate all the value of weibo,emotional structure of statistics each park,visualization of tourists emotional time variation and spatial characteristics,found that all the park’s visitors emotion in general positive category,zoo and the national forest park area of positive emotion structure tend to be less;There is no regular feature of tourists’ emotion in time,but it is relatively high in holidays and autumn and winter in parks with heavy plant landscape Among all kinds of parks,tourists’ positive emotions are mainly distributed in the areas with high environmental quality and the places where activities are held,with negative emotions but low concentration.Thirdly,using the techniques of word frequency calculate positive and negative emotional weibo word frequency,found that scenery environment,food and beverage,activities,weather,climate,human interaction,animals,emotional tone and other factors affect the tourists in different degrees in different types of parkBased on the results,Suggestions are put forward from five aspects,includingCreate positive emotional space,expanding functional space,strengthening the compatibility between plant landscape and public space,designing key points of different types of parks and park management.