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Collection Development Insights Informed by Text Mining Virtual Reference

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dc.contributor.author Polchow, Michelle
dc.date.accessioned 2018-07-02T13:43:03Z
dc.date.available 2018-07-02T13:43:03Z
dc.date.issued 2018-03-06
dc.identifier.citation Collection Development Insights Informed by Text Mining Virtual Reference, Washington Research Library Consortium Annual Meeting, Washington, D.C. 6 March, 2018. en_US
dc.identifier.uri http://hdl.handle.net/1920/11052
dc.description.abstract George 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. en_US
dc.language.iso en_US en_US
dc.rights Attribution 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by/3.0/us/ *
dc.subject Research Subject Categories::SOCIAL SCIENCES en_US
dc.title Collection Development Insights Informed by Text Mining Virtual Reference en_US
dc.type Presentation en_US


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