Can You Dig It? JSTOR Text + Data Mining
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Can You Dig It? JSTOR Text + Data Mining In-Person
This workshop provides a top-level overview of the resources developed by JSTOR Labs, and provides examples of the kinds of text analyses we perform ourselves as well as the kinds of things external researchers typically do using JSTOR content. There will also be a demonstration of a few relevant JSTOR projects such as Text Analyzer, Understanding Shakespeare, Matchmaker, and Topicgraph. An overview on the 2 APIs currently provided (for the Shakespeare and Matchmaker data) will also be presented.
About the Presenters:
Ron Snyder is the Director of Research and Development for JSTOR Labs at ITHAKA. Ron has held various positions in his twelve years with ITHAKA/JSTOR, including his most recent role leading technology R&D for the JSTOR Labs team. Prior to joining ITHAKA, Ron worked in the aerospace industry for nearly twenty years in a variety of software engineering and leadership positions.
Jason Phillips is Director for Institutional Participation & Strategic Partnerships at ITHAKA. Jason over 20 years’ experience in building & maintaining relationships at the crossroads of technology, learning, and content. He has a professional interest in furthering the principles of teaching & learning, and has worked collaboratively with publishers, libraries, state and international library consortia, foundations, and associations on a global scale to achieve these goals. Jason spoken at conferences around the world on issues related to scholarly communications, extending access to content important to scholarly work, and the effect of technology on teaching and learning.
For more information on the JSTOR projects, please visit JSTOR Labs.
Related LibGuide: Text & Data Mining Sources by Wendy Mann
- Date:
- Monday, September 18, 2017
- Time:
- 2:00pm - 3:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- 1014B Fenwick Library, Instruction Room
- Campus:
- Fairfax Campus
Registration has closed.
LeighAnn Skeen