Nathan and I are excited to be working with both Mandi Traud and District Data Labs in bring together a workshop on some of the core topics of our book. With their help, we have made some important additions including Topic Modeling and Network Analysis, while keeping the principles of sound social scientific research and sentiment analysis using Lexicons, Supervised Learning, and Item-Response Theory.

The below materials are for the workshop, Analyzing Social Media Data with R, on Saturday January 24th. We are proud to make them available for the class and for a short time, a wider audience.

We (Mandi, Nathan, and I) just wanted to address a few things to ensure that students of the upcoming class are adequately prepared for the workshop and that we make the most of the time we have together.

In preparation for the workshop (January 24th), please make sure you have completed the following tasks:

• Install R, RStudio, and the swirl package

• Familiarize yourself with programming in R (Swirl has some great tutorials)

• Download course materials are available by request.

• Install Social Network Analysis Swirl Course with four lessons using the following: install_course_dropbox(“https://www.dropbox.com/s/1p0a36yl9a50ai4/Social_Media_Mining_with_R.zip?dl=0”)

• Come prepared with questions or problems that are important to you!

*If you are a faculty member interested in this content for educational purposes, and the link is no longer active please contact us and we will be happy to assist you.