Replication Materials for "A Review of Best Practice Recommendations for Text Analysis in R (and a User-Friendly App)"

Materials

Part	Text Analysis using Topic Modeling in R
1	Data Cleaning & Exploration / HTML
2	Topic Modeling with no covariates / HTML
3	Topic Modeling with covariates / HTML

Additionally, you can go to the GitHub for topicApp for instructions on how to use the Shiny app instead. We've also created a list of Topic Modeling references pdf, which is a short list of about 40 papers/tutorials to aid in future research. By no means is this list exhaustive -- please email me (rwesslen@uncc.edu) if there are any suggestions to add to this list.

In addition to this archive, all of these materials have also been archived into a Dataverse repository. The materials are identical to the materials provided in this GitHub repository.

Setup and Preparation

R Knowledge

These materials assumes you have basic knowledge of how to :

• Set your working directory
• Install R packages via CRAN
• Handle R dataframes with tidyverse packages like ggplot, dplyr, and readr
• rmarkdown knowledge
• quanteda knowledge

Preparation

You will need R and RStudio installed on your laptop.

Also, please install these packages by running this code:

packages <- c("tidyverse","stm","quanteda","RColorBrewer","wordcloud")

install.packages(packages)

Downloading Materials

To download the materials, please click the "Clone or Download" button in the top right of this page. Then save the materials as a zip file onto your computer (e.g., Desktop).