An R package to assess the consequences of text preprocessing decisions.
[getting started with preText vignette].
The paper detailing the procedure can be found at the link below:
- Matthew J. Denny, and Arthur Spirling (2018). "Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It". [ssrn.com/abstract=2849145] or [https://doi.org/10.1017/pan.2017.44]
The easiest way to do this is to install the package from CRAN via the standard install.packages command:
install.packages("preText")
If you want to get the latest version from GitHub, start by checking out the
Requirements for using C++ code with R section in the following
tutorial: Using C++ and R code Together with Rcpp.
You will likely need to install either Xcode or Rtools depending on whether
you are using a Mac or Windows machine before you can install the preText package
via GitHub, since it makes use of C++ code.
install.packages("devtools")
Now we can install from Github using the following line:
devtools::install_github("matthewjdenny/preText")
Once the GERGM package is installed, you may access its functionality as you
would any other package by calling:
library(preText)
If all went well, you should be able to replicate the steps in the vignette("getting_started").
The basic functionality of this package is detailed in a vignette, which is [available here]. Beyond this basic functionality the package includes a number of additional utility and analysis functions for exploring and comparing multiple document--term matrices.
PLEASE REPORT ANY BUGS OR ERRORS TO [email protected].