1,121 to 1,130 of 2,265 Results
Mar 20, 2025 -
Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions
PNG Image - 25.2 KB -
MD5: fbe0d6870f0182472077c0eabb4101c2
Sample_output_hierarchical_cluster_analysis_of_detected_R-strategies.png |
Mar 20, 2025 -
Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions
Adobe PDF - 3.8 MB -
MD5: 714788a574c36189ad5b6eee19db5d53
User_manual_hierarchical_cluster_analysis.pdf |
Mar 20, 2025
Barahmand Zahir, 2025, "Dataset of 500 circular economy definitions with extracted themes within and beyond R-strategies using rule-based NLP", https://doi.org/10.23642/USN.28615868, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: This dataset comprises 500 peer-reviewed circular economy (CE) definitions, annotated with extracted themes within and beyond the R-strategies (R0–R9) using a rule-based Natural Language Processing (NLP) model. Each definition is accompanied by its publication year and reference source, enabling temporal analysis of... |
Mar 20, 2025 -
Dataset of 500 circular economy definitions with extracted themes within and beyond R-strategies using rule-based NLP
Comma Separated Values - 308.2 KB -
MD5: 28a54775d3a7b164498147dd61a541a1
500_CE_definitions_references_and_results_from_rele-based_NLP.csv |
Mar 20, 2025 -
Dataset of 500 circular economy definitions with extracted themes within and beyond R-strategies using rule-based NLP
Plain Text - 4.9 KB -
MD5: 936b413deb9ec3b7d36ae1d48080f120
ReadMe file.txt |
Mar 20, 2025 -
Dataset of 500 circular economy definitions with extracted themes within and beyond R-strategies using rule-based NLP
Adobe PDF - 81.4 KB -
MD5: a0df9c0500af9325e7647e7e3dccc783
Reference_list_definitions.pdf |
Mar 20, 2025
Barahmand Zahir, 2025, "List and lexical-semantic analysis of 600 predefined keywords for rule-based NLP to extract themes within and beyond R-strategies in circular economy definitions", https://doi.org/10.23642/USN.28615532, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Thematic identification was applied in this study through a combination of deductive and abductive reasoning to ensure both structured categorization and flexibility in capturing emerging concepts. The process began with a deductive approach, selecting initial keywords for each circular economy strategy based on the... |
MS Excel Spreadsheet - 64.7 KB -
MD5: 76f3774a90a7e0f7a96846016c1675f4
List and lexical-semantic analysis of 600 prededefined keywords.xlsx |
Adobe PDF - 330.7 KB -
MD5: ec2b100b93302da32f05711968ae5bc3
List of 600 extracted keywords.pdf |
Plain Text - 6.5 KB -
MD5: 05c5d83d72f9dd68a77f9d1eadecb6f4
ReadMe file.txt |
