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Dataset thumbnail: Coherence_Evaluations - nvl_pollution.csv

1. Coherence_Evaluations - nvl_pollution.csv

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:: 11/12/2022
Fecha modificada:: 11/12/2022
Fecha de creacion:: 2022
Licencia:: Open Data Commons Attribution License (ODC-By)

Dataset thumbnail: Coherence_Evaluations - nvl_earth.csv

2. Coherence_Evaluations - nvl_earth.csv

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:: 11/12/2022
Fecha modificada:: 11/12/2022
Fecha de creacion:: 2022
Licencia:: Open Data Commons Attribution License (ODC-By)

Dataset thumbnail: Coherence_Evaluations - nvl_climate.csv

3. Coherence_Evaluations - nvl_climate.csv

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:: 11/12/2022
Fecha modificada:: 11/12/2022
Fecha de creacion:: 2022
Licencia:: Open Data Commons Attribution License (ODC-By)

Dataset thumbnail: Coherence_Evaluations - nvl_environmental.csv

4. Coherence_Evaluations - nvl_environmental.csv

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:: 11/12/2022
Fecha modificada:: 11/12/2022
Fecha de creacion:: 2022
Licencia:: Open Data Commons Attribution License (ODC-By)

Dataset thumbnail: Coherence_Evaluations - nvl_random5k.csv

5. Coherence_Evaluations - nvl_random5k.csv

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)

Dataset thumbnail: Coherence_Evaluations - pmc_environmental.csv

6. Coherence_Evaluations - pmc_environmental.csv

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)

Dataset thumbnail: Coherence_Evaluations - pmc_earth.csv

7. Coherence_Evaluations - pmc_earth.csv

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)

Dataset thumbnail: Coherence_Evaluations - nws_environmental.csv

8. Coherence_Evaluations - nws_environmental.csv

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)

Dataset thumbnail: Coherence_Evaluations - nws_random5k.csv

9. Coherence_Evaluations - nws_random5k.csv

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)

Dataset thumbnail: Coherence_Evaluations - nws_pollution.csv

10. Coherence_Evaluations - nws_pollution.csv

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)

1. Coherence_Evaluations - nvl_pollution.csv

2. Coherence_Evaluations - nvl_earth.csv

3. Coherence_Evaluations - nvl_climate.csv

4. Coherence_Evaluations - nvl_environmental.csv

5. Coherence_Evaluations - nvl_random5k.csv

6. Coherence_Evaluations - pmc_environmental.csv

7. Coherence_Evaluations - pmc_earth.csv

8. Coherence_Evaluations - nws_environmental.csv

9. Coherence_Evaluations - nws_random5k.csv

10. Coherence_Evaluations - nws_pollution.csv

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1. Coherence_Evaluations - nvl_pollution.csv

2. Coherence_Evaluations - nvl_earth.csv

3. Coherence_Evaluations - nvl_climate.csv

4. Coherence_Evaluations - nvl_environmental.csv

5. Coherence_Evaluations - nvl_random5k.csv

6. Coherence_Evaluations - pmc_environmental.csv

7. Coherence_Evaluations - pmc_earth.csv

8. Coherence_Evaluations - nws_environmental.csv

9. Coherence_Evaluations - nws_random5k.csv

10. Coherence_Evaluations - nws_pollution.csv

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