University of South-Eastern Norway

URGE – Universal Readme Generator.

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811 to 820 of 1,954 Results

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
List of 600 extracted keywords.pdf 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 Adobe PDF - 330.7 KB - MD5: ec2b100b93302da32f05711968ae5bc3 List of 600 extracted keywords.pdf
ReadMe file.txt 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 Plain Text - 6.5 KB - MD5: 05c5d83d72f9dd68a77f9d1eadecb6f4 ReadMe file.txt
Dataset of 500 circular economy definitions with extracted themes within and beyond R-strategies using rule-based NLP 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...
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 Comma Separated Values - 308.2 KB - MD5: 28a54775d3a7b164498147dd61a541a1 500_CE_definitions_references_and_results_from_rele-based_NLP.csv
ReadMe file.txt 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
Reference_list_definitions.pdf 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
Søkehistorikk til kunnskapsoppsummeringen om tidlig innsats ved og sekundærforebygging av spiseforstyrrelser hos barn og unge i skolealder Mar 5, 2025 Myrvold Jana; Mjøseng Anneline, 2025, "Søkehistorikk til kunnskapsoppsummeringen om tidlig innsats ved og sekundærforebygging av spiseforstyrrelser hos barn og unge i skolealder", https://doi.org/10.23642/USN.28540172, DataverseNO, V1 DATASET MIGRATED FROM FIGSHARE: Dette er dokumentasjon av søk gjennomført i databaser Medline (OVID), PsycInfo (OVID), Cinahl Complete, Eric (EBSCO), Scopus og bibliotekkataloger ORIA, Bibliotek.dk og Libris.kb.se til kunnskapsoppsumeringen om tidlig innsats ved og sekundærforebygging av spiseforstyrrelser hos barn og unge i skolealder.

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

List of 600 extracted keywords.pdf

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

Adobe PDF - 330.7 KB -

List of 600 extracted keywords.pdf

ReadMe file.txt

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

Plain Text - 6.5 KB -

ReadMe file.txt

Dataset of 500 circular economy definitions with extracted themes within and beyond R-strategies using rule-based NLP

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...

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

Comma Separated Values - 308.2 KB -

500_CE_definitions_references_and_results_from_rele-based_NLP.csv

ReadMe file.txt

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 -

ReadMe file.txt

Reference_list_definitions.pdf

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 -

Reference_list_definitions.pdf

Søkehistorikk til kunnskapsoppsummeringen om tidlig innsats ved og sekundærforebygging av spiseforstyrrelser hos barn og unge i skolealder

Mar 5, 2025

Myrvold Jana; Mjøseng Anneline, 2025, "Søkehistorikk til kunnskapsoppsummeringen om tidlig innsats ved og sekundærforebygging av spiseforstyrrelser hos barn og unge i skolealder", https://doi.org/10.23642/USN.28540172, DataverseNO, V1

DATASET MIGRATED FROM FIGSHARE: Dette er dokumentasjon av søk gjennomført i databaser Medline (OVID), PsycInfo (OVID), Cinahl Complete, Eric (EBSCO), Scopus og bibliotekkataloger ORIA, Bibliotek.dk og Libris.kb.se til kunnskapsoppsumeringen om tidlig innsats ved og sekundærforebygging av spiseforstyrrelser hos barn og unge i skolealder.

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