基于游客生成的UGC数据,通过ROST CM 6 软件对庐山旅游近 5 年的网络评论进行了高频词、社会语义网络和情感分析,并采用内容分析法和扎根理论分别对认知、情感形象进行了研究.结果表明:游客对庐山旅游的整体感知以积极情感为主,认知形象和情感形象感知维度基本一致,皆涉及总体感受、旅游环境、旅游服务和基础设施;在情感形象分析中,消极情感主要集中在旅游体验的整体评价方面,旅游服务、景区管理和旅游交通 3 个方面的消极情感影响了游客体验和满意度.
Research on the Image of Mountain Tourism Based on UGC Data Analysis:Takes Mount Lu as An Example
Taking mountain Lu as the representative,based on the UGC data generated by tourists,and conducts high-frequency words,social semantic network and emotion analysis on the network comments of Mount Lu tourism in the past five years through ROST CM 6 software.Content analysis and Root Theory are used to study cognitive and negative emotional images respectively.The results show that the overall perception of Mount Lu tourism is mainly positive emotions,and the cognitive image and emotional image perception dimensions are basically the same,all involving the overall feelings,tourism environment,tourism services and basic facilities.In the emotional image analysis,the negative emotions mainly focus on the overall evaluation of the tourism experience,while the negative emotions of tourism service,scenic spot management and tourism traffic affect the tourist experience and satisfaction.
国家科技期刊平台
NSTL
万方数据
