Intro to TDM Studio: Text Mining Newspapers, Journals, and More

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Northwestern University Libraries

Learn to construct and analyze large datasets of content and get started using TDM Studio from Proquest.

Newspapers, journals, and other published content are a rich source of data for computational text analysis, but researchers can run into technical and licensing challenges accessing this content. TDM Studio enables you to construct and analyze large datasets of content from NUL's digital subscriptions. This workshop will provide an overview of what TDM Studio is and how to get started using it for your research project. You will have the opportunity to create a dataset related to your research topic and to begin analyzing that dataset within TDM Studio. We will use and run sample Jupyter Notebooks, written in Python, to look at word counts and word co-occurrences in your project dataset. No prior coding experience is needed for the workshop.T﻿his workshop will be held online over Zoom and is led by Sarah Thorngate, Data Analysis Librarian, and Basia Kapolka, Digital Humanities Librarian at Northwestern University.Northwestern University is committed to providing reasonable accommodations for all events and programs. Accommodations such as sign language interpreters and accessible presentation materials in alternate formats are provided upon request. Please contact Anne Sticksel at amsticksel@northwestern.edu or 847-491-2922 by Thursday, October 5, 2023.Every reasonable effort will be made to implement accommodations in an effective and timely manner.

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Intro to TDM Studio: Text Mining Newspapers, Journals, and More

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Intro to TDM Studio: Text Mining Newspapers, Journals, and More

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