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Juul Labs Documents Collection for North Carolina: Text Analysis Resources
This guide provides searching assistance and key information for the NC JUUL documents database.
Created by Health Science Librarians
Contact Information
Rolando Rodriguez (he/him)
Humanities Data Librarian
919-962-9590
Campus Box: 3950
Book an appointment
Click the button above to schedule a 45-minute consultation
Text Analysis Resources for Documents in the NC Juul Labs Collection
Interested in conducting text analysis on the North Carolina JUUL Labs Collection? Visit this website or the associated GitHub repository to learn more. The website and GitHub contain tutorials on how to make queries on the collection using a Python API wrapper, how to work with specific document types, and tutorials on various text analysis methodologies. All tutorials are available in Python, but tutorials in R are coming soon!
Quick Links:
- How to use the Industry Documents LIbrary API Python Wrapper
- How to create a document-type dataset from the JUUL Labs Collection
- Industry Documents API Python Wrapper GitHub Repository
- Zotero library with resources for text analysis on similar documents
If you have any questions about a text analysis project with the North Carolina JUUL Labs Collection, please contact Rolando Rodriguez (rolando@ad.unc.edu).