Study On The Relationship Between Tourist Popularity Place Names And Co-occurrence Based On UGC

As an important behavioral preference of tourists,"desire to share" has become an important form of evaluation of tourism elements of tourist destinations by sharing their own travel experiences on social network platforms in the form of online travel notes and recording their experience perception and preference of attention to tourist destinations in the process of travel.Based on the self-generated UGC of tourists,because it contains a large amount of time-space behavior information of tourists,it has become an important data source for tourism geography to carry out research on the structure of tourism network in the background of the digital age,and an important component of tourism big data.As the spatial carrier of tourist destination landscape,the analysis of geographical names,especially those popular in tourism,can reflect the degree of attention and correlation intensity of related landscapes.Through the quantitative analysis of such geographical names entities supported by scale data,the development characteristics and spatial network structure of tourist destinations can be mapped.This paper chooses Xi ’an Datang City that never Sleeps as the research case,and uses Python software to climb the multi-platform UGC travel text data from 2012 to 2022 as the research data source.PKUseg Chinese phrase component,ATF*PDF comprehensive weight calculation model and Gephi visualization software are comprehensively used for data processing.Based on data analysis results,social network analysis and co-occurrence analysis are combined.This paper studies the classification and co-occurrence of tourist popular place names in sleepless cities of Tang Dynasty from multi-dimensional time and space scales.The research conclusions are as follows:(1)Features of text data set.In terms of text time characteristics: the UGC online travel notes generated by tourists were published from May to October,with values higher than 1300.After October,the number of online travel notes fell sharply,reaching a low point in December.In terms of text emotion analysis,the positive emotion evaluation of tourists to Datang Sleepless City accounted for 93.2%,while the negative emotion evaluation accounted for 6.8%.Positive emotion evaluation words include "culture","food" and "performance service",while negative emotion evaluation words include "subway","epidemic" and "time".(2)Analysis of tourist popularity and place names.Time scale: From three dimensions of interannual,quarterly,working day and non-working day,the analysis of tourist popularity of place names in Datang Sleepless City in the period of 2012--2017 and 2018--2022 was carried out.The results show that the time distribution trend of tourist hot place names in the sleepless city of the Tang Dynasty presents a long tail distribution,and the difference of the heat value of tourist hot place names decreases over time,the difference of cold and heat is significant,and the preference of a few tourist hot place names has not been improved.On the spatial scale: from the scenic spots(views)and scenic spots,the analysis of the tourist popularity of Datang Sleepless City in the period of 2012--2017 and 2018--2022 was carried out.The results show that the geographical names of tourist popularity show the spatial distribution characteristics of "both scattered and concentrated",with obvious "entrance and exit" effect.The geographical names of tourist popularity are hierarchical and show the evolution trend from single core to multi-core and multi-stage.(3)Analysis of the co-occurrence of place names.With the help of the classification of place names in the travel notes of the Tang Dynasty Nevernight City,this paper analyzes from two perspectives of the inner and outer space of the scenic spot.Time scale: the node correlation degree and line segment interaction degree between scenic spot and internal and external space are strengthened with the development of time,and the network relationship tends to be complex.Spatial scale:the "core-edge" structural relationship between scenic spot and internal and external space is prominent,and the hierarchical relationship is obvious.(4)Block optimization strategy.Combined with the development status of Datang Sleepless City,the optimization strategy is proposed from three aspects:operation management,project creation,publicity and marketing.