Research on the Tourism Destination Image Based on Internet Text Content Analysis:Taking Langzhong Ancient City as an Example
Langzhong ancient city is taken as a case,and ROST Content Mining software is used to conduct network text analysis on 82 online travel notes with the theme of"Langzhong Ancient City"from Mafengwo,Ctrip and Qunar.The results show that Langzhong Ancient City's tourism image can be divided into four categories landscape image,cultural image,place image and emotional image.The graph of Semantic Network Analysis presents a four-layer structure of"Core-secondary core-secondary peripheral-peripheral".The emotional images perceived by tourists are mainly positive and neutral.The negative emotions are mainly attributed to the negative emotions such as imperfect infrastructure,serious commercialization of the ancient city and the low quality of activities.
online travel notescontent analysistourism destination imageLangzhong Ancient City
NETL
NSTL
万方数据
