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Wednesday, November 8 • 6:00pm - 6:45pm
18 Text Mining Virtual Reference through a Collection Management lens: extracting insightful stories and operationalizing data for strategic allocate of resources

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If Google and Facebook are the masters of leveraging big data, consider the impact that institutional specific data might have for libraries to uncover causal relationships and predictive behavior from their user population. “Really big data” is an accepted trend in a variety of scholarly practices throughout academia. 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 real transformative possibilities exist for management to identify misallocation of critical resources, opportunity to better integrate library resources and services, and to harvest authentic user conversations with compelling stories to build collaborative campus-wide relationships.

avatar for Michelle Polchow

Michelle Polchow

Electronic Resources Librarian, George Mason University
Michelle provides a central role in managing digital resources, including license negotiation; facilitating metadata for multiple systems; and preparing for Alma migration. Co-Chair of Libraries’ Web Tools Usability Group and research partner in ‘Big Data’ text analysis, mining... Read More →

Wednesday November 8, 2017 6:00pm - 6:45pm EST
Carolina Ballroom, Francis Marion Hotel 387 King Street, Charleston, SC 29401