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Constituent Input on Regulatory Initiatives: A Machine-Learning Approach to Efficiently and Effectively Analyze Unstructured Data.

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Bibliographic Details
Title:	Constituent Input on Regulatory Initiatives: A Machine-Learning Approach to Efficiently and Effectively Analyze Unstructured Data.
Authors:	Ferguson, Daniel P.¹ (AUTHOR), Harris, M. Kathleen¹ (AUTHOR), Williams, L. Tyler² (AUTHOR)
Source:	Journal of Information Systems. Fall2023, Vol. 37 Issue 3, p119-138. 20p. 1 Diagram, 5 Charts, 2 Graphs.
Database:	Business Source Ultimate
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Description
ISSN:	08887985
DOI:	10.2308/ISYS-2021-032