Digging Deeper into Text and Data Mining

dc.contributor.author	Haugen, Inga	en
dc.contributor.author	Lener, Edward F.	en
dc.contributor.author	Pannabecker, Virginia	en
dc.contributor.author	Young, Philip	en
dc.date.accessioned	2017-10-03T23:45:18Z	en
dc.date.available	2017-10-03T23:45:18Z	en
dc.date.issued	2017-10	en
dc.description.abstract	Text and data mining (TDM) approaches are increasingly used for research in a variety of disciplines to create, explore, and analyze large datasets. This presentation explores opportunities for library support for TDM, including expanding licensing permissions, clarifying legal aspects, identifying TDM sources and tools, developing expertise, and outreach.	en
dc.identifier.uri	http://hdl.handle.net/10919/79483	en
dc.language.iso	en_US	en
dc.publisher	Virginia Tech	en
dc.rights	Creative Commons Attribution 3.0 United States	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/us/	en
dc.subject	text mining	en
dc.subject	data mining	en
dc.subject	tdm	en
dc.title	Digging Deeper into Text and Data Mining	en
dc.type	Presentation	en