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Digging Deeper into Text and Data Mining

descriptionPublicationkeyboard_double_arrow_right Presentation 03 Oct 2017 United States English Publisher:Virginia Tech
Authors: Haugen, Inga; Lener, Edward F.; Pannabecker, Virginia; Young, Philip;

handle: 10919/79483

Digging Deeper into Text and Data Mining

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.

Country
United States
Related Organizations
Keywords

tdm, text mining, data mining

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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