Public debates surrounding infrastructure and energy projects involve complex networks of stakeholders, arguments, and evolving narratives. Understanding these dynamics is crucial for anticipating controversies and informing engagement strategies, yet existing tools in media intelligence largely rely on descriptive analytics with limited transparency. This paper presents Stakeholder Suite, a framework deployed in operational contexts for mapping actors, topics, and arguments within public debates. The system combines actor detection, topic modeling, argument extraction and stance classification in a unified pipeline. Tested on multiple energy infrastructure projects as a case study, the approach delivers fine-grained, source-grounded insights while remaining adaptable to diverse domains. The framework achieves strong retrieval precision and stance accuracy, producing arguments judged relevant in 75% of pilot use cases. Beyond quantitative metrics, the tool has proven effective for operational use: helping project teams visualize networks of influence, identify emerging controversies, and support evidence-based decision-making.

翻译：围绕基础设施与能源项目的公共辩论涉及复杂的利益相关者网络、论点体系及动态演变的叙事。理解这些动态对于预判争议和制定参与策略至关重要，然而媒体情报领域的现有工具主要依赖透明度有限的描述性分析。本文提出利益相关者套件——一个已在实际场景中部署的框架，用于映射公共辩论中的参与者、议题与论点。该系统将参与者检测、主题建模、论点提取和立场分类整合至统一流程中。通过对多个能源基础设施项目的案例研究表明，该方法能提供细粒度、基于信源的洞察，同时保持跨领域适应性。该框架实现了较高的检索精度与立场判断准确率，在试点用例中生成的论点被判定为相关的比例达75%。除量化指标外，该工具在实际运营中已被证实有效：协助项目团队可视化影响力网络、识别新兴争议点，并为循证决策提供支持。