Multi-axis LLM stance extraction + heterogeneous R-GAT + graph-grounded briefing for climate negotiation intelligence (COP30 retrospective)
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Updated
Jun 4, 2026 - Python
Multi-axis LLM stance extraction + heterogeneous R-GAT + graph-grounded briefing for climate negotiation intelligence (COP30 retrospective)
A machine learning project developed in the context of COP30 to assess socio-environmental risk in Amazonian development projects using environmental indicators.
Projeto integrador com SQLite, notebooks e graficos sobre dados publicos no contexto COP30.
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