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Python and Text Analysis for Absolute Beginners (Part 2)

Part two of a two-part session on text analysis. This event will be hosted with Research Data Services and the Digital Scholarship Group as part of the Digital Humanities Office Hours series held virtually on Wednesdays at 12pm (Eastern). In this hands-on session, we’ll build our own custom datasets in Constellate, a text mining platform for building and analyzing textual datasets from sources such as JSTOR, Portico, Chronicling America, and Reveal Digital. We'll then use Python to run text analysis on our datasets in Jupyter notebooks. Those without prior experience in Jupyter notebooks or Python should plan to attend the October 13th session for the best outcome.

This workshop will be led by Jen Ferguson, Research Data Services, and Sarah Connell, NULab for Texts, Maps, and Networks.

This event is free and open to the public, but registration is required. RSVP here.

Wednesday, October 20 at 12:00pm to 1:00pm

Virtual Event
Event Type

Workshop

Departments

CSSH, NUlab for Texts, Maps, and Networks

Sponsoring Organization

NULab for Texts, Maps, and Networks; Digital Scholarship Group; Research Data Services

Is this a public event? Yes/No

Yes

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Divyangana Pandey

Divyangana Pandey 10/16/2021

Hey, I am intrested. How can I join this event?