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  • Topic Model Results of Ohio Non-Profit Organizations' Mission Language

    Dataset thumbnail: Topic Model Results of Ohio Non-Profit Organizations' Mission Language
    Type:
    Dataset
    Descripción/Resumen:
    This CSV file contains the topic distribution of each EIN as uncovered using six parallel Latent Dirichlet Allocation (LDA) Topic Models. Each row depicts a topic and topic-score associated with an Ohio NPO (identified by Employer Identification Number) generated from one model run. The sum of topic scores possible for every row associated with an EIN therefore will not exceed 6.0 (6 models x 100%) Topic scores below .01 (1%) are not included. Each topic from the models is further identified as Essential/Non-Essential by subject matter expert, Dr. Michael Jones, guided by the official IRS definition. The topic models are generated on unstructured text language from the mission statement and activities language taken from the 2019 tax forms of Ohio non-profit organizations.
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    05/06/2021
    Fecha modificada:
    09/20/2021
    Fecha de creacion:
    2020-10-03
    Licencia:
    Open Data Commons Public Domain Dedication and License (PDDL)