风景区的生态系统文化服务（Cultural ecosystem services，CES）对促进生态环境保护、提升人类福祉具有重要作用，但由于其主观性和无形性的特征，难以对其进行客观量化研究。以昆明市的西山风景区、大观公园、翠湖公园、金殿名胜区为研究对象，获取社交媒体评论文本数据，运用自然语言处理技术构建 CES 感知框架，并结合社会网络分析法、百度 AI 情感倾向分析工具 及重要性 - 满意度分析法，探讨游客对风景区 CES 的感知情况。结果表明：风景区的 CES 可分为 6 种，游客更易感知历史文化与基础设施，对其重视度和满意度较高；对社交互动的感知较少，重视度高但满意度较低；对休闲娱乐的感知程度、重视度及满意度均较低。此外，翠湖公园与大观公园 CES 感知高度相似，而西山风景区和金殿名胜区各具独特性。基于研究结果，提出强化历史文化传承与品牌建设、推进智慧风景区数字化建设、多感官视角优化审美与自然体验、基于承载力提升休闲娱乐品质 4 项策略。

The cultural ecosystem services of scenic areas play a crucial role in promoting ecological conservation and enhancing human well-being.The research takes Xishan Scenic Area, Grand View Park, Cuihu Park and Jindian Scenic Area in Kunming as the research objects, and uses social media comment text data and natural language processing techniques to analyze visitor perceptions. A CES perception framework was developed, incorporating social network analysis, Baidu AI sentiment analysis, and importance-performance analysis to explore how visitors perceive CES in these scenic areas. The results indicate that the CES of scenic areas can be classified into six types. Among these, tourists are more likely to perceive the 'historical culture' and 'infrastructure', which are rated with high importance and performance. Conversely, 'social interaction' is perceived less frequently but is considered highly important, with lower performance. Additionally, 'leisure and entertainment' receive lower ratings in terms of perception, importance, and satisfaction. Cuihu Park and Daguan Park exhibit high similarity in CES, while Xishan Scenic Area and Jindian Scenic Area each have their own distinct characteristics. Based on the research results, the CES of the four scenic spots should be improved from four aspects: strengthening historical and cultural heritage and brand building, promoting the digital construction of smart scenic spots, optimizing aesthetic and natural experience from a multi-sensory perspective, and taking into account the carrying capacity to improve the quality of leisure and entertainment.

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