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-
- Type:
- Dataset
- 摘抄:
- 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
- 作者:
- McCabe, Erin E.
- 提交者:
- Erin E. McCabe
- 上传日期:
- 11/04/2022
- 更改日期:
- 11/04/2022
- 创建:
- 2022
- 证书:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- 摘抄:
- 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
- 作者:
- McCabe, Erin E.
- 提交者:
- Erin E. McCabe
- 上传日期:
- 11/03/2022
- 更改日期:
- 11/17/2022
- 创建:
- 2022
- 证书:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- 摘抄:
- 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
- 作者:
- McCabe, Erin E.
- 提交者:
- Erin E. McCabe
- 上传日期:
- 11/03/2022
- 更改日期:
- 11/03/2022
- 创建:
- 2022
- 证书:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- 摘抄:
- 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
- 作者:
- McCabe, Erin E.
- 提交者:
- Erin E. McCabe
- 上传日期:
- 11/02/2022
- 更改日期:
- 11/02/2022
- 创建:
- 2022
- 证书:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Document
- 摘抄:
- American History text to be used in A&S Interdisciplinary Studies online courses.
- 作者:
- Bennett, Lawrence
- 提交者:
- Lawrence Bennett
- 上传日期:
- 10/24/2022
- 更改日期:
- 05/15/2026
- 证书:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- 摘抄:
- Volume 53 (Fall 2022) of Cincinnati Romance Review. It includes ten articles and four book reviews.
- 作者:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- 提交者:
- Olga Sanz Casasnovas
- 上传日期:
- 10/03/2022
- 更改日期:
- 10/10/2022
- 创建:
- 2022
- 证书:
- Attribution 4.0 International
-
- Type:
- Dataset
- 摘抄:
- Volume 52 (Spring 2022). Special Issue on José Saramago. Guest Editor: Carlos Nogueira (Cátedra José Saramago–UTAD / Cátedra José Saramago–Universidade de Vigo)
- 作者:
- Valladares-Ruiz, Patricia and Sanz Casasnovas, Olga
- 提交者:
- Olga Sanz Casasnovas
- 上传日期:
- 10/03/2022
- 更改日期:
- 10/10/2022
- 创建:
- 2022
- 证书:
- Attribution 4.0 International
-
- Type:
- Dataset
- 摘抄:
- Volume 51 (Fall 2021) - Cincinnati Romance Review. It includes fourteen articles and three book reviews.
- 作者:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- 提交者:
- Olga Sanz Casasnovas
- 上传日期:
- 10/03/2022
- 更改日期:
- 10/10/2022
- 创建:
- 2021
- 证书:
- Attribution 4.0 International
-
- Type:
- Dataset
- 摘抄:
- Monographic Issue: "El deporte en la literatura latinoamericana". Edited by Luis Miguel Estrada Orozco. It includes ten articles and two book reviews.
- 作者:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- 提交者:
- Olga Sanz Casasnovas
- 上传日期:
- 10/03/2022
- 更改日期:
- 10/10/2022
- 创建:
- 2021
- 证书:
- Attribution 4.0 International
-
- Type:
- Dataset
- 摘抄:
- Volume 49 (Fall 2020) of Cincinnati Romance Review. It includes six articles and five book reviews.
- 作者:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- 提交者:
- Olga Sanz Casasnovas
- 上传日期:
- 10/03/2022
- 更改日期:
- 10/10/2022
- 创建:
- 2020
- 证书:
- Attribution 4.0 International
