Collection Development Insights Informed by Text Mining Virtual Reference

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dc.contributor.authorPolchow, Michelle
dc.date.accessioned2018-07-02T13:43:03Z
dc.date.available2018-07-02T13:43:03Z
dc.date.issued2018-03-06
dc.description.abstractGeorge Mason University Libraries conducted research using both uniform data and conversation transcripts to text mine three years of virtual reference chats, investigating its applicability for business analytics. Traditional data management systems are not capable of providing this type of real-time intelligence, but transformative possibilities exist to better integrate library resources and services, identify misallocation of critical resources and to harvest authentic user conversations with compelling stories to build collaborative campus-wide relationships.
dc.identifier.citationCollection Development Insights Informed by Text Mining Virtual Reference, Washington Research Library Consortium Annual Meeting, Washington, D.C. 6 March, 2018.
dc.identifier.urihttps://hdl.handle.net/1920/11052
dc.language.isoen_US
dc.rightsAttribution 3.0 United States
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/us/
dc.subjectResearch Subject Categories::SOCIAL SCIENCES
dc.titleCollection Development Insights Informed by Text Mining Virtual Reference
dc.typePresentation

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