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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 has closed.
Session Presenter
Sarah Swanz