Explaining Data-Driven Document Classifications
Explaining Data-Driven Document Classifications
About this item
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Publisher
Minneapolis: Management Information Systems Research Center, University of Minnesota
Journal title
Language
English
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Publication information
Publisher
Minneapolis: Management Information Systems Research Center, University of Minnesota
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Scope and Contents
Contents
Many document classification applications require human understanding of the reasons for data-driven classification decisions by managers, client-facing employees, and the technical team. Predictive models treat documents as data to be classified, and document data are characterized by very high dimensionality, often with tens of thousands to milli...
Alternative Titles
Full title
Explaining Data-Driven Document Classifications
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_1505326273
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1505326273
Other Identifiers
ISSN
0276-7783
E-ISSN
2162-9730
DOI
10.25300/MISQ/2014/38.1.04
