声景感知是理解公众环境体验与提升国家公园管理质量的重要切入点。随着社交媒体的发展，网 络评论文本成为获取声景认知信息的新型数据来源。以我国 4 个首批国家公园为研究对象，综合运用文本挖掘（Jieba 分词技术）、情感分析模型（LSTM+Word2vec）与时间序列分析模型（ARIMA），构建基于网络文本的声景感知量化与预测框架，探讨公众对国家公园声景的情感 倾向及其动态变化特征。研究发现：民众更偏好自然声，其中地球物理声占比最高，人工声占比较高但高频词呈现矛盾性，生物声占比较低但对生态体验具有积极影响。不同国家公园情感感知 差异明显，武夷山国家公园积极情感占比最高（73.18%），海南热带雨林国家公园受噪声影响表现出明显的消极情感倾向。ARIMA 模型预测结果显示，除海南热带雨林国家公园外，其他公园 未来的情感倾向整体向好，武夷山国家公园情感趋势最稳定，大熊猫国家公园预测结果可靠性较高，而三江源国家公园预测的置信区间较大。基于研究成果，提出增设声景廊道与特色声景体验、 加强噪声管理、建立智慧声景管理体系 3 项建议。

Soundscape perception is an important entry point for understanding the public'senvironmental experience and improving the quality of national park management. Withthe development of social media, online comment texts have become a new type of datasource for obtaining soundscape perception information. Taking the first four national parks in China as the research object, this research used text mining (Jieba split-word technique),sentiment analysis model (LSTM+Word2vec), and time series analysis model (ARIMA) to construct a framework for quantifying and predicting soundscape perception based ononline texts, and to explore the public's sentiment tendency towards the soundscape ofthe national parks and its dynamic change. The study found that the public prefers naturalsound, of which geophysical sound accounts for the highest percentage, artificial sound accounts for a higher proportion but presents ambivalence, biological sound accounts fora lower proportion but has a positive impact on the ecological experience. The difference in emotional perception of different national parks is obvious, with Wuyishan National Parkhaving the highest percentage of positive emotions (73.18%), and Hainan Tropical Rainforest Park showing a clear tendency to negative emotion influenced by noise; The ARIMA modelprediction results show that, except for the Hainan Tropical Rainforest National Park, the future emotional tendency of other parks is better overall, Wuyishan National Park has themost stable emotional tendency, the reliability of the prediction results of the Giant PandaNational Park is higher, and the confidence interval of the prediction of the Sanjiangyuan National Park is larger. Based on the research results, three recommendations were madeto add soundscape corridors and characteristic soundscape experiences, strengthen noise management, and establish a smart soundscape management system.

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教育部人文社会科学研究青年基金项目“新数据环境下浙闽地区山水人居环境地域景观保护与发展研究”（编号：20YJC760079）；2024年福建省本科高校教育教学研究重大项目“GenAI驱动风景园林人才培养数智化转型的机制、路径与实证研究”（编号：FBJY20240176）；2024年度福建省教育科学规划常规课题“生成式人工智能技术下风景园林教育个性化人才培养研究”（编号：FJJKBK24-088）