A Study On The Method Of Emotional Spatialization Of Place Data In Micro-blog

With the rapid development of the Internet information and tourism industry,more and more tourists in the tourism process,the travel experience,evaluation experience is released to the Internet,forming a large number of travel network text data.As an important part of text mining,social media network sentiment analysis is widely used in public opinion monitoring,business forecasting,etc.,not only to make up for the lack of traditional tourism data,but also has rich connotation and time and space attributes,for the study of tourism destinations and tourists.A new perspective.Facing redundant travel network texts requires more practical sentiment analysis methods and precise spatialization methods.Due to the particularity of the text of the social media network,not only the text but also a large number of emoticons in the content,the emotional analysis of the simple text semantics can not reflect the emotional level.Place data in micro-blog is a kind of social media data with short time period,large quantity,short content and time and space information.Travel data with the theme of travel experience,travel evaluation and travel experience.A large number of points carrying tourist sentiment information are randomly distributed in the space,and the location information is unknown,which cannot meet the visual needs of the interior space of the scenic spot.Taking Pingyao Ancient City as an example,the article focuses on place data in microblog anddoes research on emotional spatialization.Users not only use text to spread information,express their feelings,but also use a variety of emojis.Emoji has a very strong emotional color,so purely emotional analysis of text can not truly reflect emotions.Tourist attractions often have a small regional scope and a large number of POIs.The points in the scenic spots are disorderly distributed,and it is necessary to apply the visual space visualization method for tourist attractions in small spatial scales.Based on the analysis of semantic sentiment orientation of bosonNLI Chinese,this paper focuses on the emotional quantification of both text and symbol,and combines the symbolic emotion quantification method with symbolic nature and symbol number as parameters to design comprehensive emotional quantification calculation to obtain a true emotional analysis result.At the same time,based on the two aspects are given different emotional weights to represent the emotional contribution.There are a series of complete data processing methods and ideas from data acquisition,process design,emotional quantification method,spatialization method and result analysis.The emotional space is described from the micro-blog text semantic emotion,emoji emotion and comprehensive emotion,and the POI emotional characteristics are analyzed from different perspectives such as user gender attribute and time attribute.Through systematic emotional calculation method and spatialization method,this paper realizes the effect of expressing tourists' emotions in geospatial in a quantitative way,achieving the requirements of precise spatialization in small spatial scale research,and satisfying different perspectives.The emotional assessment needs provide a scientific basis for tourism construction decision-making,which is beneficial for merchants and managers to accurately adjust services.