基于大数据的昆明主城区旅游景区社会服务评价研究

Big Data: Research on the Evaluation of Social Service about Tourism Landscape in Main Urban Area of Kunming

互联网时代以来,网络评论已经深入影响到了游客的旅游选择。网络评论在反映游客对景点的评价的基础上,同时影响了公众对于旅游景点的抉择。以昆明市主城旅游景区为主要研究对象,基于网络大数据,利用文本情感分析技术、词频分析技术以及空间密度分析手段对旅游评价和兴趣点进行数据采集分析,从宏观的层面上探寻旅游者的空间分布特征,行为偏好倾向、情感偏向。分析出昆明主城景区旅游景观社会服务评价特征,可为昆明市旅游规划和提升景区服务质量提供一定的参考依据。

Since the age ofintemet was coming, intemet reviews have deeply influenced choices of tourists＇ travel with the rapid development of tourism industry in Kunming. This research that focusing on ten tourist attractions in main urban area of Kunming was analyzed thousands of tourist reviews and POIs （point of interest） by Sentiment Analysis and TF-IDF methods, in order to reflect spatial distribution, behavioral preferences and emotional bias of tourists on macro perspective. This result can help Kunming Tourism Planning and Tourist Attractions Service.