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Analyzing Social Media with R

Welcome to the resources page for analyzing social media data with R! These resources are based on multiple workshops given at Ludwig-Maximilians-Universität München (LMU) and the University of Georgia Digital Humanities Lab. Workshop materials: Here is a section of goodreads quotes, obtained via kaggle.com. Here is our handout for today. Here is the R code for today. Comments, questions, or suggestions? Email me at katherine.ireland@uga.edu
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Installing R and R Studio

R and the Comprehensive R Archive Network (CRAN) R is a programming language for statistical computing, but it is useful for a wide variety of applications! It is maintained internationally by a team of developers through the Comprehensive R Archive Network (CRAN). In order to run your R code, you will first need to have R installed! Install R R runs on many different operating systems (OS); select the link below that corresponds to your needs.
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April 2021: Text Analysis 101

This series of workshops will show participants their options to analyze text at scale. These sessions are open to all and are intended for beginners. No experience necessary. Sessions are held on Thursdays at 4pm via Zoom; contact DigiLab for the zoom information and link! April 1st: Text Analysis Basics April 8th: Text Analysis for Literature and Beyond April 15th: Creating your own Social Media Corpus April 22nd: Text Analysis Applications: Social Media
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Text Analysis Glossary

Text Analysis Tutorials

DigiLab, Data Office Hours 2021

Scatterplots: Digi Data Visualization Lecture 3

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