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...

Full description

Bibliographic Details

Published in:	Nonprofit & Voluntary Sector Quarterly Vol. 50; no. 3; pp. 662 - 688
Main Author:	Ma, Ji
Format:	Article
Published:	Sage Publications Inc. Jun2021
Subjects:	Nonprofit sector Nonprofit organizations Machine learning Source code Big data Data analysis
Online Access:	View this record in EBSCOhost