Materials for my presentation on topic modeling for the 2022 SMS Research Methods Doctoral and Junior Faculty Consortium.
In order to follow the R code developed for the workshop, two pieces of software need to be installed beforehand. The first is R, a free software environment for statistical computing and graphics. The second is RStudio, which is a graphical user interface that goes 'over' R, making it more user friendly. It is adamant that R is installed first, and RStudio second.
Before running the code shown below, install R on your system by going to the following page: https://cran.r-project.org/ Here, OS-specific versions of R can be found. For example, by clicking here, you can download the executable for Windows. For Mac OS X, the install file can be found here. Installation using the default settings should do the trick.
Then, after the installation of R is complete, navigate to the following page: https://www.rstudio.com/ You can download the free version of RStudio on this page. Again, the default settings should do the trick.
Then, after these steps are completed, it is advisable to run the following lines of code in RStudio once to install required packages.
# The "tm" package enables the text mining infrastructure that we will use for LDA.
if (!require("tm")) install.packages("tm")
# The "stm" package enables the estimation of the correlated topic model.
if (!require("stm")) install.packages("stm")
# The "huge" package is used in making the correlations map.
if (!require("huge")) install.packages("huge")