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791 to 800 of 1,941 Results

Python code for rule-based NLP extraction of keywords from circular economy definitions Mar 20, 2025 Barahmand Zahir, 2025, "Python code for rule-based NLP extraction of keywords from circular economy definitions", https://doi.org/10.23642/USN.28615238, DataverseNO, V1 DATASET MIGRATED FROM FIGSHARE: This repository provides Python code and a dataset for a rule-based NLP analysis of 500 peer-reviewed circular economy definitions. The Python script enables automated keyword extraction to identify 10R strategies (R0-R9) and beyond, offering structured insights into CE definitions. ChatGPT 4o is used for optimizatio...
ReadMe file.txt Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions Plain Text - 6.4 KB - MD5: 1a8f2e60d67b67e35c93fa2f0ede6cc8 ReadMe file.txt
Rule-based_NLP_circular_economy_definitions.ipynb Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions Jupyter Notebook - 85.4 KB - MD5: 70481ef0c87641ea1c6214232f9ae6b8 Rule-based_NLP_circular_economy_definitions.ipynb
Rule-based_NLP_circular_economy_definitions.py Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions Python Source Code - 21.9 KB - MD5: 257ccac6531d00cfe6a681087d73c7bd Rule-based_NLP_circular_economy_definitions.py
Rule-based_NLP_circular_economy_definitions.txt Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions Plain Text - 22.0 KB - MD5: e85af99b97313b8c5f79557efaba0e16 Rule-based_NLP_circular_economy_definitions.txt
Sample_input_definition_list_500.csv Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions Comma Separated Values - 247.8 KB - MD5: 3359a5b49b0ef2265ec8e42164905907 Sample_input_definition_list_500.csv
Sample_output_r0_r9_detected_definitions.csv Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions Comma Separated Values - 305.8 KB - MD5: cf278a2af285a29ed133030016fcbdea Sample_output_r0_r9_detected_definitions.csv
User_manual_rule-based_NLP.pdf Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions Adobe PDF - 56.4 KB - MD5: 956e5c14acb8d245ba348cbf6483eae3 User_manual_rule-based_NLP.pdf
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 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...
List and lexical-semantic analysis of 600 prededefined keywords.xlsx Mar 20, 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 MS Excel Spreadsheet - 64.7 KB - MD5: 76f3774a90a7e0f7a96846016c1675f4 List and lexical-semantic analysis of 600 prededefined keywords.xlsx

Python code for rule-based NLP extraction of keywords from circular economy definitions

Mar 20, 2025

Barahmand Zahir, 2025, "Python code for rule-based NLP extraction of keywords from circular economy definitions", https://doi.org/10.23642/USN.28615238, DataverseNO, V1

DATASET MIGRATED FROM FIGSHARE: This repository provides Python code and a dataset for a rule-based NLP analysis of 500 peer-reviewed circular economy definitions. The Python script enables automated keyword extraction to identify 10R strategies (R0-R9) and beyond, offering structured insights into CE definitions. ChatGPT 4o is used for optimizatio...

ReadMe file.txt

Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions

Plain Text - 6.4 KB -

ReadMe file.txt

Rule-based_NLP_circular_economy_definitions.ipynb

Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions

Jupyter Notebook - 85.4 KB -

Rule-based_NLP_circular_economy_definitions.ipynb

Rule-based_NLP_circular_economy_definitions.py

Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions

Python Source Code - 21.9 KB -

Rule-based_NLP_circular_economy_definitions.py

Rule-based_NLP_circular_economy_definitions.txt

Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions

Plain Text - 22.0 KB -

Rule-based_NLP_circular_economy_definitions.txt

Sample_input_definition_list_500.csv

Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions

Comma Separated Values - 247.8 KB -

Sample_input_definition_list_500.csv

Sample_output_r0_r9_detected_definitions.csv

Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions

Comma Separated Values - 305.8 KB -

Sample_output_r0_r9_detected_definitions.csv

User_manual_rule-based_NLP.pdf

Mar 20, 2025 - Python code for rule-based NLP extraction of keywords from circular economy definitions

Adobe PDF - 56.4 KB -

User_manual_rule-based_NLP.pdf

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

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...

List and lexical-semantic analysis of 600 prededefined keywords.xlsx

Mar 20, 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

MS Excel Spreadsheet - 64.7 KB -

List and lexical-semantic analysis of 600 prededefined keywords.xlsx

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