Embark on an exciting journey as we explore the fascinating crossroads of literary analysis and data science! Recent advances in AI, large language models, and other advanced computational techniques have been revolutionizing literature studies across the board. Join us in our Open Lab to learn how you can take your first steps in using data science and analytics tools to enhance your literary analysis.

During this immersive session, we will guide you through some computational “distant reading” techniques, such as sentiment analysis and topic modeling, that can help you unveil the intricate layers of meaning within literary works. Best of all, we will use R, an open-source and free software used by beginners and experts alike. Don’t know how to code yet? No problem! Prior experience in data science or coding is not necessary to participate, and we love answering questions. This open lab is open to all interested in learning and will be taught at an entry-to-intermediate level. Abi Mercado Rivera will will showcase practical exercises using classic literature and show you how to show your results using simple visualizations. Listen in or code along! Join us to discover the potential of data science in unlocking the secrets held within the pages of your favorite books!

Take the OpenLab to the next level (optional): if you want to follow along on your device as we run our demonstrations, here’s a link to instructions on how to download, install, and run R from your device.