JSTOR Labs is developing a new text mining platform for JSTOR, its sister organization Portico, and other corpora. While text mining has the potential to revolutionize research across disciplines, it requires coding skills and statistical knowledge that may take years to learn. JSTOR Labs has tried to mitigate this problem through a new platform for creating, visualizing, and linking datasets within a hosted JupyterHub environment, which incorporates popular code packages for topic modeling, sentiment analysis, and more. The platform allows users to start text mining without the hassle of configuring an environment. It also provides an opportunity for common infrastructure for teaching text mining: the platform will feature a library of open education resources—Jupyter notebooks with accompanying lesson plans—which will make it easier to teach and learn text mining, without hiding complexity or nuance.

1. Creating Infrastructure for
Teaching Text Analytics
Alex Humphreys, JSTOR Labs Director
@abhumphreys

2. At ITHAKA, our passion drives us to make the world smarter. Our mission comes
to life in four service areas.
JSTOR One of the world's
leading academic
databases, JSTOR powers
the research and learning
of 6 million users each
month.
Ithaka S+R Ithaka S+R
provides research and
strategic guidance to help
the academic and cultural
communities serve the public
good and navigate
economic, technological, and
demographic change.
Portico Portico, a
community-supported digital
archive, preserves over 1
million e-books and e-
journals for future scholars.
Artstor Artstor provides 2+
million high-quality images
and digital asset
management software to
enhance scholarship and
teaching.

3. JSTOR Labs works with partner publishers,
libraries and labs to create tools for
researchers, teachers and students that are
immediately useful – and a little bit magical.

4. A common theme:
text analytics

6. “…a deceptively gentle welcome mat,
followed by a trapdoor.”
- Ted Underwood
https://tedunderwood.com/2018/01/04/a-broader-purpose/

8. New Text Analytics Service
from JSTOR & Portico
tdm-pilot.org

9. Other kinds of infrastructure…
We are working with NISO to initiate a group to define a standard
for non-consumptive text analytics datasets
We received an NEH grant to launch:
The Text Analytics Pedagogy Institute
Spring 2021 at U of Virginia
Summer 2022 at Arizona U

10. Thank you
Alex Humphreys
Director, JSTOR Labs
ITHAKA
labs.jstor.org
@abhumphreys
alex.humphreys@ithaka.org

11. Appendix A: Screenshots