1,081 to 1,090 of 2,265 Results
May 16, 2025 -
Supplementary dataset: detailed classification, labelling, sector analysis, and results of 2,700 circular economy indicators
Plain Text - 3.4 KB -
MD5: 579e89b5f0867aef64136df7ff9992f0
ReadMe file.txt |
May 16, 2025 -
Supplementary dataset: detailed classification, labelling, sector analysis, and results of 2,700 circular economy indicators
Adobe PDF - 99.2 KB -
MD5: 142d9760e3c041f2ed50860303fe9e75
References.pdf |
May 16, 2025 -
Supplementary dataset: detailed classification, labelling, sector analysis, and results of 2,700 circular economy indicators
Adobe PDF - 67.9 KB -
MD5: 69e7c56e112c0ffcb63bbec3953bf965
Sectoral analysis.pdf |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Comma Separated Values - 118.2 KB -
MD5: 27fc315139cbc9115409fe813029f40a
Sample_input_CE_indicator_list_input_2713_round_2.csv |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Comma Separated Values - 211.7 KB -
MD5: b2fae43bd2746523237890e85775410f
sample_output_classified_indicators.csv |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Adobe PDF - 132.2 KB -
MD5: 244635960f5adfc3c446e928f4c3cad3
User_manual.pdf |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Python Source Code - 34.1 KB -
MD5: 4c88d8345636389baa91f2355e23cbf9
winpython_nlp_2713_CE-SDG_round2_0.py |
May 16, 2025 -
Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Plain Text - 34.1 KB -
MD5: 4c88d8345636389baa91f2355e23cbf9
winpython_nlp_2713_CE-SDG_round2_0.txt |
May 16, 2025 -
Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
Adobe PDF - 39.3 KB -
MD5: 94d3d8ebbe463b7813ec0be2f4528ac9
Content_list.pdf |
May 16, 2025 -
Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
Adobe PDF - 31.4 KB -
MD5: fab9666ccfe4af7c92d879ed02283148
Cover.pdf |
