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Text Mining 101: What You Should Know
Authors:Patricia Cleary  Kristen Garlock  Denise Novak  Ethan Pullman
Abstract:ABSTRACT

Scholars increasingly use text and data mining (TDM) methods to discover trends and relationships within complex digital data sets. In order to support this development in scholarly communication, librarians and publishers need to be knowledgeable about TDM methods, build partnerships with TDM researchers, and address challenges related to licensing and access to large document sets. The presenters of this NASIG session shared their experiences of supporting TDM as a library subject liaison, acquisitions librarian, and publisher representatives. Audience members discussed issues involving TDM of data from multiple publishers, local hosting of data sets and TDM activity by undergraduate students.
Keywords:Data analysis  digital humanities  licensing  scholarly communications  text and data mining
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