AI Fluency Week: Text mining the scholarly literature Online
Text and data mining (TDM) of scholarly literature can support tasks such as screening abstracts for a systematic review and analyzing how a field evolves over time. However, getting from a research question to a usable corpus can be intimidating. In this workshop, we’ll introduce scholarly APIs and how to query them, comparing open sources like OpenAlex and arXiv with publisher platforms. From there, we’ll walk through the basics of assembling a corpus, providing tips for full-text retrieval and an overview of licensing restrictions (including how to avoid common mistakes that can lead to blocked access!). Finally, we’ll demonstrate a text analysis workflow and provide you with resources that you can adapt to your own project.
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This session is part of AI Fluency Week. Join us for another session!
Preparing to (Vibe) Code
Text mining the scholarly literature
Built-In or Banned? CMU Faculty on AI in the Classroom
The Impact of AI in the Research Process
Using AI-supported tools for literature searching
Introduction to Prompt Engineering
Vibe Code Sprint Halloween Party
- Date:
- Tuesday, October 27, 2026
- Time:
- 11:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Campus:
- Virtual Workshop
- Categories:
- Artificial Intelligence Evidence Synthesis Information & Data Literacy CC Open Science Working With Data and Code
- Online:
- This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Virtual Workshop Information:
- The link to join this event will be found in your confirmation email and in the reminder email sent 24 hours before the event.
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