基于网络文本的昆明市城市公园感知研究

以昆明市的27个城市公园为例，采集社交网络平台中的使用后评价文本，基于内容分析法，结合ROST Content Mining和Excel软件对评价文本数据进行高频词统计、语义网络分析、情感倾向和统计分析，定性与定量结合地对昆明市城市公园游憩感知因子进行总结归类。结果显示，公园出行主要集中在气候适宜的节假日，不同功能类型的公园构成要素的关注度各有差异，其中自然环境因素和服务管理水平的关注度最高，社会环境因素的整体感知度较低，消极倾向评论中对服务管理设施有较高提及率。最后根据游客的真实感受从环境规划设计、人文景观营造和服务设施水平3个方面提出提升建议。

Research on Perception of Urban Parks in Kunming City Based on Network Text

Taking 27 urban parks in Kunming as an example, post use evaluation texts from social network platforms is collected . Based on content analysis method, ROST Content Mining and Excel software are used to conduct high-frequency word statistics, semantic network analysis, emotional tendency and statistical analysis on the text data. Qualitative and quantitative methods are combined to summarize and classify the perception factors of recreational activities in urban parks in Kunming, Mining hidden interrelationships and distribution patterns in review data. The results show that people''s attention to different functional types of parks and their constituent elements varies. Finally, based on the true feelings of tourists, suggestions for improvement are proposed from three aspects, including environmental planning and design, cultural landscape creation, and service facility level.