对社交媒体平台的公众意见评估:对高速铁路基础设施项目2 (HS2) 的案例研究
1Civil, Environmental and Geomatic Engineering, University College London, London, UK.
UCL open. Environment
|September 18, 2023
概括
分析社交媒体情绪的基础设施项目,如高速2 (HS2) 使用混合的罗伯塔-格鲁模型提供了一个强大的新方法. 这种方法有效地捕捉了公众意见,并确定了更好的项目评估的关键主题.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 运输工程 运输工程
背景情况:
- 公共论对于基础设施项目的成功至关重要.
- 传统的评估方法与公众情绪的体积和细微差别作斗争.
- 社交媒体为公众论分析提供了丰富,动态的数据来源.
研究的目的:
- 开发和评估一种混合模型,用于分析与基础设施项目相关的社交媒体数据的情绪分析.
- 应用隐性迪里克莱特分配 (LDA) 主题建模,以深入了解公共话语.
- 在基础设施评估中建立一个数据驱动的公共论评估框架.
主要方法:
- 为了情绪分析,开发了一种混合模型,将预训练的RoBERTa和封闭的循环单位 (GRU) 结合起来.
- 作为一个案例研究,英国的高速铁路2 (HS2) 项目被用作案例研究.
- 隐藏的迪里克莱特分配 (LDA) 主题建模被用来识别社交媒体帖子中的关键主题.
主要成果:
- 混合型罗伯塔-格鲁模型在分类社交媒体情绪方面表现强.
- 通过LDA主题建模,成功地确定了围绕HS2项目的主要主题和公众关切.
- 该研究验证了社交媒体数据分析对公众论评估的有效性.
结论:
- 以先进的混合模型为基础的社交媒体分析,为了解基础设施项目的公众意见提供了有价值的工具.
- 拟议的框架增强了传统的评估方法,为决策者提供了更深入的见解.
- 有效的公众情绪分析可以导致更好的基础设施项目规划和执行.
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