This workshop will take the form of informal "office hours" available in conjunction with a pre-recorded version of the workshop content available as multiple videos. The videos introduce methods and tools for processing text and transforming it into data that can be analyzed. Participants will be introduced to the spacy Python library and basic methods of quantitative textual analysis. It will be helpful to have had prior exposure to Python, such as through the "Introduction to Python" workshop or Python Camp. No installation of Python is needed.
Prior to the session, you are encouraged to complete the following Jupyter notebook tutorial. Instructions are included in the notebook. Use the first link if you wish to download the notebook to your own computer and run it locally. Use the second link if you wish to run the notebook in Google Colab (no installation required).
This workshop is part of the Using Programming and Code for Research series for for anyone who wants to get started or learn more about use programming languages like Python, R, or other applications. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services for programming and coding and for working with data.
All sessions are free to GW students, faculty, staff, and alumni. GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact firstname.lastname@example.org at least 72 business hours (3 business days) prior to the event.