The Winter Olympics have sparked interest in ice and snow tourism,transforming the vision of"300 million people participating in ice and snow sports"into reality.Tourist satisfaction is a key factor influencing the sustainable development of ice and snow tourism.This paper utilizes online text data analysis methods,taking Changchun as a case study.Using the Octopus data collector,we gathered tourist reviews from Ctrip.com and Dianping.com,and conducted high-frequency word analysis,semantic network analysis,and sentiment analysis using ROST CM6 software.The results indicate that 73.45％of tourist comments express positive emotions,reflecting a high overall satisfaction,although some negative comments remain.Based on these findings,we propose suggestions regarding supporting facilities,cultural characteristics,and service quality,aiming to provide insights and references for the high-quality development of ice and snow tourism in Changchun.
NETL
NSTL
万方数据
