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Introduction to Text Mining with Constellate In-Person / Online

Learn about the principles of text mining using Constellate, a JSTOR's text mining platform from JSTOR. Constellate provides tools for building a large dataset, using items from JSTOR and other digital collections, cleaning the dataset, analyzing the dataset using a range of tools, and visualizing the results. This session will introduce users to Constellate, show how to create a dataset and visualizations, and review some of the advanced options to accessing Jupyter notebooks for using Python to analyze texts.

Free and open to all, registration required for Zoom link.

Date:
Monday, November 4, 2024
Time:
1:00pm - 3:00pm
Time Zone:
Central Time - US & Canada (change)
Location:
Olin Library, Instruction Room 2 (Lab)
Campus:
Danforth Campus

Registration is required. There are 30 in-person seats available. There are 100 online seats available.

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Session Presenter

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Sarah Swanz