Analysis of Tourism Image Perception in Qinghai Lake Scenic Area Based on Web Text
With the advent of the era of big data,the online review text will affect tourists'perceptual image of tourist attractions.This paper collects tourist review texts from tourism websites such as Ctrip,MeituanDianping,Where to Go,Tongcheng Tourism,etc.,and uses ROST CM6.0 online text mining tool to carry out word segmen-tation and word frequency statistics on Qinghai.Semantic network analysis and emotional analysis of high-fre-quency words in tourism image perception in lake scenic spots have been carried out.The results show that in terms of cognitive image,the natural landscape attraction of Qinghai Lake scenic spot has become the main cogni-tion of tourists;tourists pay more attention to the good ecological environment of Qinghai Lake;in terms of over-all image,tourists have a high positive mood towards Qinghai Lake scenic spots.However,there are also some neutral and negative emotions about service facilities and management.Based on the research findings,this paper proposes the following suggestions:the first is to improve the integration of culture and tourism in Qinghai Lake scenic areas and create a cultural Qinghai Lake;The second is to improve the quality of scenic area management services and meet the needs of tourists in all aspects and at multiple levels;The third is to create diverse tourism products to meet the diverse consumption needs of tourists and improve their ability to make secondary purchases.
tourism image perceptionQinghai Lake scenic areanetwork text analysis
NETL
NSTL
万方数据
