基于文本挖掘的旅游目的地形象感知——以荔波小七孔为例

以携程网、去哪儿网收集的游记攻略为研究素材,基于旅游目的地"认知-情感"理论,运用ROST CM6软件对收集到的网络文本进行内容分析.研究发现:游客对于旅游资源、旅游环境的整体满意度较高,正面评价占比83.05％,中性及消极情绪较少;消极情感主要来源于单一的旅游活动、不合理的联票制度及配套的旅游基础设施.针对消极情感来源提出改进建议,为提升自然风光型景区形象感知提供参考和借鉴.

Tourism Destination Image Perception Based on Text Mining:Taking Libo Xiaoqikong as an example

Taking the travel guides collected by Ctrip and Qunar as research materials, based on the "cognition-emotion" theory of tourism destination, the ROST CM6 software is used to analyze the content of the collected web texts. The results show that: The overall satisfaction of tourists for tourism resources and tourism environment is high, with positive evaluation accounting for 83.05%, and less neutral and negative emotions. The negative emotion mainly comes from the single tourism activity, the unreasonable joint ticket system and the supporting tourism infrastructure. Improvement suggestions for the source of negative emotions are put forward, and provide reference for the improvement of image perception of natural scenery scenic spots.