Description:

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.