Yanbian University, College of Agriculture, Yanji, 133002, China.
Yanbian University, College of Engineering, Yanji, 133002, China.
Sci Rep. 2024 Jun 14;14(1):13724. doi: 10.1038/s41598-024-64527-1.
Rural landscapes, as products of the interaction between humans and nature, not only reflect the history and culture of rural areas but also symbolize economic and social progress. This study proposes a deep learning-based model for Weibo data analysis aimed at exploring the development direction of rural landscapes from the perspective of the Chinese public. The research reveals that the Chinese public's attention to rural landscapes has significantly increased with the evolution of government governance concepts. Most people express a high level of satisfaction and happiness with the existing rural landscapes, while a minority harbor negative emotions towards unreasonable new rural construction. Through the analysis of public opinion regarding rural landscapes, this study will assist decision-makers in understanding the mechanisms of public discourse on social media. It will also aid relevant scholars and designers in providing targeted solutions, which hold significant importance for policy formulation and the exploration of specific development patterns.
乡村景观作为人与自然相互作用的产物,不仅反映了乡村的历史和文化,也象征着经济和社会的进步。本研究提出了一种基于深度学习的微博数据分析模型,旨在从中国公众的角度探索乡村景观的发展方向。研究表明,随着政府治理理念的演变,中国公众对乡村景观的关注度显著提高。大多数人对现有的乡村景观表示高度满意和幸福,而少数人对不合理的新农村建设持负面情绪。通过对乡村景观的公众意见进行分析,本研究将有助于决策者了解社交媒体上公众话语的机制。它还将为相关学者和设计师提供有针对性的解决方案提供帮助,这对于政策制定和特定发展模式的探索具有重要意义。