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Automated Coding Using Machine Learning and Remapping the U.S. Nonprofit Sector: A Guide and Benchmark.

This research developed a machine learning classifier that reliably automates the coding process using the National Taxonomy of Exempt Entities as a schema and remapped the U.S. nonprofit sector. I achieved 90% overall accuracy for classifying the nonprofits into nine broad categories and 88% for cl...

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Publicado en:Nonprofit & Voluntary Sector Quarterly Vol. 50; no. 3; pp. 662 - 688
Autor principal: Ma, Ji
Formato: Artículo
Publicado: Sage Publications Inc. Jun2021
Materias:
Nonprofit sector
Nonprofit organizations
Machine learning
Source code
Big data
Data analysis
Acceso en línea:Ver este registro en EBSCOhost