This talk introduced textmineR to a new audience. This version of textmineR brought a Gibbs sampler I wrote with additional functionality for those training LDA models. textmineR is 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: 1. Maximize interoperability within R’s ecosystem 2. Scaleable in terms of object storeage and computation time 3. Syntax that is idiomatic to R