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UNC iSchool receives Mellon grant for machine learning project tied to email curation

 

The University of North Carolina at Chapel Hill has received a grant for $1.1 million from The Andrew W. Mellon Foundation for a project to develop a toolset that will enable institutions to more quickly and efficiently process emails included in born-digital collections. The project will specifically explore the use of machine learning to separate irrelevant emails from those that should be preserved, and will apply natural language processing methods to identify topics of interest within those records so the messages can be tagged for improved organization and retrieval.

The UNC School of Information and Library Science (SILS) is partnering with the State Archives of North Carolina under the NC Department of Natural and Cultural Resources (NC DNCR) for the two-year project. The Review, Appraisal, and Triage of Mail (RATOM) project’s goals are particularly significant for organizations, including libraries, archives and museums (LAMs), that need to provide public access to records while protecting private information.

RATOM project personnel include SILS Professor Christopher “Cal” Lee, who will serve as Principal Investigator (PI), as well as SILS Research Scientist Kam Woods (Co-PI) and DARNC Section Head of Digital Services Camille Tyndall Watson (Co-PI).

Click here for more details on the UNC website.