Learn how to identify similar images and texts with Python! This workshop will focus on the task of identifying similar images, but we will also discuss how you can use the same techniques to identify similar texts in large corpora. We will discuss the process of converting cultural heritage materials into "vectors", the basics of working with vector spaces, and the ways we can use vector spaces to identify similar images and texts.

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Requirements

The seventh offering in our Python for Humanists series, this workshop is designed for participants who have taken the earlier sessions or who otherwise have a general understanding of Python’s syntax and data types. Written tutorials from the prior sessions can be found on the DHLab's GitHub repository on GitHub.

Participants are asked to come to the workshop with Anaconda Python (version 3.7 or higher) already installed. If you have trouble with the installation, stop by the Digital Humanities Lab's virtual Office Hours for help.

This workshop is open to all Yale students, faculty, and staff, but space is limited.

Instructors: Catherine DeRose (DHLab) and Doug Duhaime (DHLab)