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In this 1-hour workshop, TDM Studio experts will provide an overview of what TDM Studio is and how to get started with TDM Studio Workbench 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.

Run sample Jupyter Notebooks, (pre-)written in Python, to look at word counts and word co-occurrences in your project dataset. No coding experience is needed for the workshop.

Learning Outcomes:

  • Possibilities of TDM Platforms
  • Familiarity with using TDM Studio
  • Starting, baseline results for a text analysis project.

Examples of research questions that can be attempted:

Which politicians have the most newspaper presence? Does this vary by specific newspaper titles? Which politicians co-occur together most frequently?

TDM Studio with Penn Libraries

About TDM Studio

Related LibGuide: Text Analysis by Jajwalya Karajgikar

Thursday, November 9, 2023
2:00pm - 3:30pm
Research Data and Digital Scholarship Exchange
Van Pelt-Dietrich Library Center
More information:

This is an in-person and virtual meeting.

Location: Research Data & Digital Scholarship Exchange at the Penn Libraries at Van Pelt-Dietrich Library Center 1st floor, RDDSX.

More workshops (From Constellate)

The Text Analysis Club. November 8, 11 am-noon EST.  Deborah Grbac, from Università Cattolica del Sacro Cuore di Milano, will share her experiences introducing Constellate to students and using Constellate to teach text analysis.


Webinar: How to Use Constellate. November 15, noon-1 pm EST.  Zhuo Chen, Constellate instructor, will walk you through all the features of Constellate you never knew existed, including how to build a dataset (and why you might want to), analysis you can do on your dataset, learning from our tutorials, demystifying the lab, and sharing files.


Class: Building and Applying Language Models.  December 6 & 7, 10-11:30 am and 3:30-5 pm EST.  Are you interested in the large language model underlying ChatGPT? Are you curious about how LLMs are applied in a variety of natural language processing tasks including text generation, sentiment analysis, named entity recognition, question answering and summarization? Come join us in this two-day class for hands-on experience in building and applying language models!


Class: Teaching with Constellate. December 13, 10-11:30 am and 3:30-5 pm EST.  Learn how to teach with Constellate using your own notebooks and data integrated into your own GitHub repository.  We will walk you through the entire process from creating a GitHub account and generating a Personal Access Token (PAT) to forking a repository and making your lesson.


Webinar: Potential for Large Language Models in Experimental Research.  January 16, 2-3 pm EST. Brian Jabarian, a behavioral and experimental economist at The University of Chicago Booth Business School, will present his recent collaborative paper exploring the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation. In the paper, Brian and his collaborators discuss how LLMs can be used to improve experimental design and implementation and analyze experimental data. They also suggest a scientific governance framework that mitigates the potential risks of using LLMs in experimental research while amplifying their advantages.

Registration has closed.

Event Organizer

Jajwalya Karajgikar