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The thirteen primary source collections found within Environmental History offer researchers ample opportunities to explore topics like land use, wildlife management, urban development, forestry policy, colonial rule, and legislation that impacted natural preservation. In this session, we’ll review the contents of the archive and discuss the kinds of questions that can be researched using Digital Humanities techniques. Through a demonstration of Gale Digital Scholar Lab, you’ll see how sets of historical documents can be analyzed in minutes using the Named Entity Recognition tool, to extract a list of people, places, and organizations mentioned within. To register for this online webinar please visit Gale’s registration page.
The new Python Notebook section of Gale Digital Scholar Lab will help students and researchers take their projects in a new direction. Three new Python Notebooks expand on Named Entity Recognition and Sentiment Analysis, and into Geographic Information Systems (GIS). Each Python Notebook can be used with a pre-made Dataset or with the researcher’s own collected text data. Join this webinar to hear from Sarah Ketchley, Senior Digital Humanities Specialist, who will show the Notebook environment and demonstrate how using the Notebooks will increase users’ skill levels, and can be adapted for work at any level.
To sign up for this workshop, please visit Gale Digital Scholar Lab’s registration page.
From “big data” to ChatGPT, text analysis and large language models are changing the way we learn and do research. Join UW-Madison Libraries to learn about Constellate, a platform for learning and performing text analysis, building datasets, and accessing analytics course materials suitable for self-paced learning or classroom use. This workshop will be led by Dr. Nathan Kelber, the Constellate Education Manager for JSTOR Labs and Director of the Text Analysis Pedagogy Institute. Visit the event page to register and for more information.