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- Type:
- Dataset
- Descripción/Resumen:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creador/Autor:
- McCabe, Erin E.
- Peticionario:
- Erin E. McCabe
- Fecha modificada:
- 11/05/2022
- Fecha modificada:
- 11/11/2022
- Fecha de creacion:
- 2022
- Licencia:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Descripción/Resumen:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creador/Autor:
- McCabe, Erin E.
- Peticionario:
- Erin E. McCabe
- Fecha modificada:
- 11/04/2022
- Fecha modificada:
- 11/04/2022
- Fecha de creacion:
- 2022
- Licencia:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Descripción/Resumen:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creador/Autor:
- McCabe, Erin E.
- Peticionario:
- Erin E. McCabe
- Fecha modificada:
- 11/04/2022
- Fecha modificada:
- 11/04/2022
- Fecha de creacion:
- 2022
- Licencia:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Descripción/Resumen:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creador/Autor:
- McCabe, Erin E.
- Peticionario:
- Erin E. McCabe
- Fecha modificada:
- 11/04/2022
- Fecha modificada:
- 11/04/2022
- Fecha de creacion:
- 2022
- Licencia:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Descripción/Resumen:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creador/Autor:
- McCabe, Erin E.
- Peticionario:
- Erin E. McCabe
- Fecha modificada:
- 11/04/2022
- Fecha modificada:
- 11/04/2022
- Fecha de creacion:
- 2022
- Licencia:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Descripción/Resumen:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creador/Autor:
- McCabe, Erin E.
- Peticionario:
- Erin E. McCabe
- Fecha modificada:
- 11/03/2022
- Fecha modificada:
- 11/17/2022
- Fecha de creacion:
- 2022
- Licencia:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Descripción/Resumen:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creador/Autor:
- McCabe, Erin E.
- Peticionario:
- Erin E. McCabe
- Fecha modificada:
- 11/03/2022
- Fecha modificada:
- 11/03/2022
- Fecha de creacion:
- 2022
- Licencia:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Descripción/Resumen:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creador/Autor:
- McCabe, Erin E.
- Peticionario:
- Erin E. McCabe
- Fecha modificada:
- 11/02/2022
- Fecha modificada:
- 11/02/2022
- Fecha de creacion:
- 2022
- Licencia:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Document
- Descripción/Resumen:
- American History text to be used in A&S Interdisciplinary Studies online courses.
- Creador/Autor:
- Bennett, Lawrence
- Peticionario:
- Lawrence Bennett
- Fecha modificada:
- 10/24/2022
- Fecha modificada:
- 04/07/2026
- Licencia:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Descripción/Resumen:
- Volume 53 (Fall 2022) of Cincinnati Romance Review. It includes ten articles and four book reviews.
- Creador/Autor:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Peticionario:
- Olga Sanz Casasnovas
- Fecha modificada:
- 10/03/2022
- Fecha modificada:
- 10/10/2022
- Fecha de creacion:
- 2022
- Licencia:
- Attribution 4.0 International