A Gentle Introduction to Text Analysis with R

This workshop introduces participants to basic text analysis techniques with R, an open-source statistical software widely used in digital scholarship research and teaching. We will tour the interface and cover basic setup and installation, demonstrate how to process and prepare your data, and explore commonly used functions for text analysis, such as word clouds and frequency graphs. This workshop is for beginners to programming; working knowledge of text mining methods is helpful but not required. To follow along, please install R and RStudio in advance.

Facilitators:

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Headshot of Nickoal Eichmann-Kalwara

Nickoal Eichmann-Kalwara

Nickoal Eichmann-Kalwara (she/her) a digital scholarship librarian at University of Colorado Boulder, in the Center for Research Data & Digital Scholarship (since 2017). Her work centers on historical recovery and archival justice, critical data literacies, and digital humanities infrastructures and project sustainability. She earned her MLIS at Indiana University, and a Master’s in History at […]

Headshot of Aditya Ranganath

Aditya Ranganath

Aditya Ranganath (he/his) is a data librarian at the University of Colorado-Boulder, where he has been working since December 2020. Prior to that, he was a CLIR Postdoctoral Fellow at New York University Libraries. He earned his PhD in Political Science from the University of California, San Diego in 2018.

FAQ

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A detailed answer to provide information about your workshops, build trust with potential students, and help convince the visitor that you are a good fit for them.

A detailed answer to provide information about your workshops, build trust with potential students, and help convince the visitor that you are a good fit for them.

A detailed answer to provide information about your workshops, build trust with potential students, and help convince the visitor that you are a good fit for them.

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