Text > Data Events

From close reading to distant reading, to challenging our notions of what it means to “read,” this Digital Scholarship series will explore the issues, approaches, and tools of text mining.  Join us Thursdays, 2:00-3:30 PM in Perkins Library 217 for these open presentations and discussions of text mining as a method for analyzing texts.

Co-sponsored by Duke Libraries and the PhD Lab in Digital Knowledge.

SEPTEMBER

20 > Text Mining as a Research Tool in the Humanities & Social Sciences
Ryan Shaw
https://library.duke.edu/events/digital-scholarship/event.do?id=6321
Time: 2:30-4:00 PM

27 > TEI: What It Is, and Why You Should Care
Will Shaw
https://library.duke.edu/events/digital-scholarship/event.do?id=6331

OCTOBER

4 > NVivo as a Tool for Organizing & Analyzing Texts
Charlotte Clark
https://library.duke.edu/events/digital-scholarship/event.do?id=6341

18 > Whose Words Are These? Legal Considerations of Text Mining
Kevin Smith
https://library.duke.edu/events/digital-scholarship/event.do?id=6351

25 > High-Level Text Analysis and Techniques
Angela Zoss
https://library.duke.edu/events/digital-scholarship/event.do?id=6361

NOVEMBER

1 > Mapping Disciplinary Structures, Using Network & Semantic Analysis
Greg Applebaum & Elizabeth Beam
https://library.duke.edu/events/digital-scholarship/event.do?id=6371&occur=13831

8 > Visualizing Text: Tools and Techniques
Eric Monson
*Location: BOSTOCK LIBRARY 023
https://library.duke.edu/events/digital-scholarship/event.do?id=6381&occur=13841 

15 > Mining Oral Histories for Multiple Audiences
Ryan Shaw
*Location: FHI Garage (BAY 4, SMITH WAREHOUSE)
https://library.duke.edu/events/digital-scholarship/event.do?id=6391&occur=13851

DECEMBER

6 > How to Read 16,700 Journal Articles: Using Topic Models for Text Mining
Allen Riddell
https://library.duke.edu/events/digital-scholarship/event.do?id=6401&occur=13861

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