Text Mining Practicum

Free Text Mining Practicum Course Coming Soon!

RData flows all around us, from the shortest tweets to the largest repositories of scientific data. With the sheer amount of data in our lives, how can we use it to answer burning questions or make big decisions? That’s where R comes in!

R is a programming language that is used by many academic disciplines to analyze and visualize large amounts of data. If you would like to learn more about how R can change the way you look at data, OIT is now offering a non-credit practicum course that shows you the basics of R and its use in text mining.

Dr. Aren Cambre, D.Eng ’14, will be your multi-disciplinary guide through basic text mining techniques to help you derive knowledge from all kinds of works. While a “programming language” may give you pause, you don’t have to be a computer scientist to learn and utilize R! In fact, R has become quite popular in the ever-growing arena of digital humanities. These skills will place you well on the way to discerning, with quantitative tools, how discourses change over time, and making quantitative claims about the most important terms, authors, or events in a changing discourse.

Interested? Reserve your spot now, as seating is limited!


The practicum meets once-weekly for three hours for a total of five weeks starting Friday, September 28, 2018, from 9 – 11:50 a.m. All students are required to bring a laptop running either Windows, macOS, or an Ubuntu or Red Hat/Fedora-based Linux distribution.

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Ian Aberle

Ian Aberle is an Adobe Creative Educator and the Senior IT Communications Specialist & Trainer for the Office of Information Technology (OIT). For over 25 years, he has helped the SMU community use technology and implement digital and web media through multiple roles with the Digital Commons, SMU STAR Program, and now OIT. Ian enjoys photography and road trips with his family in his free time.