Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

The supplementary materials provide detailed support for the rule-based NLP model for classifying Circular Economy (CE) indicators against the Sustainable Development Goals (SDGs). The package includes:The complete Python codebase implementing the classification algorithmA detailed manual outlining model features, requirements, and usage instructionsSample input CSV files and corresponding processed output files to demonstrate functionalityKeyword dictionaries for all 17 SDGs, distinguishing strong and weak matchesThese materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.