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

DATASET MIGRATED FROM FIGSHARE: <p dir="ltr">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:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.</p>