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Using Constellate for Text Analysis and LLMs
April 19, 2024 11am to 12:30 pm (Virtual)

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. 

With Constellate, you can:

  • Identify key concepts and themes in texts
  • Build custom datasets for analysis from a variety of scholarly sources
  • Create interactive data visualizations
  • Learn or teach new skills ranging from Python basics to building your own nanoGPT. Not ready to code? Constellate also has tutorials for learning basic text analysis tasks without writing any code. 
  • Access online synchronous classes to learn more about text analysis, large language models, and other topics. 

This workshop will be led by Dr. Nathan Kelber, the Constellate Education Manager for JSTOR Labs and Director of the Text Analysis Pedagogy Institute. He is an international speaker and educator on teaching text analysis in higher education and cultural heritage institutions. Part digital humanist and part data scientist, his projects bridge research communities, improve access to open educational resources, and apply artificial intelligence for social good.

Registration: To register, please fill out this form

Create an account: For more info on UW-Madison Libraries’ trial of Constellate and to create an account, visit our Constellate page.

Trial feedback: To give feedback on this trial please fill out our Constellate feedback survey.

Learn more about the Libraries’ other Text and Data Mining Tools by visiting our Data Services page or reaching out to the Data and Digital Scholarship Librarian, Jennifer Patiño.