About this Event
About Dream Lab 2024:
Hosted at the University of Pennsylvania, Dream Lab is designed to help humanists become more confident and thoughtful users, creators, and critics of digital technology.
There will be 8 courses to choose from, each of which combines technical instruction with practical application. Please visit this link to view the detailed course list!
Dream Lab is open to everyone but has been designed with aspiring and teaching faculty, aspiring research librarians and aspiring archivists in mind. Register now, and we'll see you on June 10-13, 2024!
Course Description:
This class will examine methods and practices for text analysis. Freely available tools and excellent tutorials have made it easier to apply computational text analysis techniques, but researchers may still find themselves struggling to build a corpus, decide between methods, and interpret results. We will survey the hows and whys of a variety of commonly used methods, including word counting, topic modeling, and natural language processing techniques. Students who take this course will be able to:
- Find and prepare texts for analysis. Store, access, and document their text objects and data.
- Discuss their corpus-building decisions and textual data in ways that are methodologically and disciplinary sound.
- Identify appropriate text analysis methods for a given question.
- Engage in text analysis methods that use word frequency, word location, and natural language processing.
- Articulate statistical, computational, and linguistic principles — and how they intersect with humanistic approaches to texts — for a few text analysis methods.
We will use a mixture of free tools and scripts in R and Python (you don’t need to know R or Python to take the class). We will primarily work together from shared data sets the instructors will provide. This course will be appropriate for people at all levels of technical expertise. Students should have administrative rights to load software on their laptop.
Instructor:
J.D. Porter is a DH Project Specialist at the Price Lab. He received his PhD in English from Stanford University in 2017 and then worked as the Associate/Technical Director at the Stanford Literary Lab. He specializes in text mining, American modernism, and race and ethnicity theory, with occasional forays into jazz studies, network analysis, and ordinary language philosophy. His work has appeared in (or is slated to appear in) Episteme, Cultural Analytics, the pamphlet series of the Stanford Literary Lab, and the edited volumes Ralph Ellison in Context and The Cambridge Companion to the American Short Story.
Housing:
Participants in Dream Lab 2024 are responsible for finding their own accommodations. In addition to hotels and Airbnb/Vrbo, on-campus housing will be made available for a nightly rate + tax. You will need a Penn Card if you choose to stay in on-campus housing. If you do not have a Penn Card, you will need to purchase a temp card. We'll share a link to sign up for on-campus housing as soon as possible.
For more Dream related news, please visit our .
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Please make sure to read Dream Lab's FAQ and Code of Conduct before registering.
Price Lab for Digital Humanities is committed to prioritizing the health and well-being of our community. We will follow Penn’s COVID-19 guidelines for safety while planning Dream Lab 2023 to ensure we can provide the best possible experience for all. As of November 2022, face masks are optional and we are no longer requiring proof of vaccination or PennOpen Pass.
Event Venue & Nearby Stays
University of Pennsylvania, 255 South 36th Street, Philadelphia, United States
USD 250.00 to USD 450.00
