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Filtrado por: Departamento Digital Scholarship Center (DSC) Eliminar la restricciónDepartamento: Digital Scholarship Center (DSC) Colecciones Data Sets for HDSR publication "Convergence in Viral Epidemic Research: Using Natural Language Processing to Define Network Bridges in the Bench-Bedside-Population Paradigm" Eliminar la restricciónColecciones: Data Sets for HDSR publication "Convergence in Viral Epidemic Research: Using Natural Language Processing to Define Network Bridges in the Bench-Bedside-Population Paradigm"

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  • APPENDIX D: Topic Network Maps for a Random 10k Documents & the Complete CORD-19 Dataset

    Document thumbnail: APPENDIX D: Topic Network Maps for a Random 10k Documents & the Complete CORD-19 Dataset
    Type:
    Document
    Descripción/Resumen:
    All models and corresponding network visualizations are generated from documents in the CORD-19 dataset as of July 14, 2020. All annotations in red were added by the research team. Note: These topic models are included here as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    02/26/2021
    Fecha modificada:
    02/26/2021
    Fecha de creacion:
    2020
    Licencia:
    CC0 1.0 Universal

  • APPENDIX C: Non-Coronaviridae Topic Network Maps [HIV, ZIKA, H1N1, EBOLA]

    Document thumbnail: APPENDIX C: Non-Coronaviridae Topic Network Maps [HIV, ZIKA, H1N1, EBOLA]
    Type:
    Document
    Descripción/Resumen:
    All models and corresponding network visualizations are generated from virus related documents in the CORD-19 dataset as of July 14, 2020. All annotations in red were added by the research team. Note: Certain Non-Coronaviridae topic models are included in the text of this article and are included here only as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    02/26/2021
    Fecha modificada:
    02/26/2021
    Fecha de creacion:
    2020
    Licencia:
    CC0 1.0 Universal

  • APPENDIX B: Coronaviridae Topic Network Maps [SARS, MERS, COVID-19]

    Document thumbnail: APPENDIX B: Coronaviridae Topic Network Maps [SARS, MERS, COVID-19]
    Type:
    Document
    Descripción/Resumen:
    All models and corresponding network visualizations are generated from virus related documents in the CORD-19 dataset as of July, 2020. All annotations in red were added by the research team. Note: Coronavirus topic models are included in the text of this article and are included here only as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    02/26/2021
    Fecha modificada:
    02/26/2021
    Licencia:
    CC0 1.0 Universal

  • APPENDIX A: Group Betweenness Centrality for Topic - Coronavidae [SARS, MERS, COVID-19]

    Document thumbnail: APPENDIX A: Group Betweenness Centrality for Topic - Coronavidae [SARS, MERS, COVID-19]
    Type:
    Document
    Descripción/Resumen:
    These Centrality measurements were generated with NetworkX, a Python package for networks. The specific algorithms used for this paper are Betweenness Centrality (where Degree Centrality considers individual topics). Complete Centrality Data for this research can be found at  https://scholar.uc.edu/show/6t053h21x
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    02/26/2021
    Fecha modificada:
    02/26/2021
    Licencia:
    CC0 1.0 Universal