textmineR
Functions for Text Mining and Topic Modeling
An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.
textmineR 
Maintenance status
⚠️ Note: textmineR is now in maintenance-only mode.
The package remains functional and is kept on CRAN for reproducibility, but it is no longer under active development.
For new work, please see tidylda, which is the actively maintained successor to textmineR. tidylda provides a more modern interface and improved topic modeling functionality while following the tidyverse design philosophy.
textmineR
Functions for Text Mining and Topic Modeling
Copyright 2021 by Thomas W. Jones
An aid for text mining in R, with a syntax that is more familiar to experienced R users. Also, implements various functions related to topic modeling, making it a good topic modeling work bench.
textmineR was created with three principles in mind:
- Maximize interoperability within R's ecosystem
- Scaleable in terms of object storeage and computation time
- Syntax that is idiomatic to R
Please see the vignettes for more information on how to get started.
Note: there's a lot going on with textmineR at the moment, including adding functionality based on original research.