Supervised Machine Learning for Text Analysis in R

Announcement post for Supervised Machine Learning for Text Analysis in R book.


July 27, 2020

I have been waiting a long time to finally be able to craft this blog post. Last Friday Julia Silge and I led a userR! 2020 online tutorial on “predictive modeling with text using tidy data principles”. The tutorial was host by R-Ladies en Argentina and I could not be more grateful for all the work the organizers put into this making this event happen.

Materials for this tutorial are available on GitHub, with two main resources in the repo:

If you get stuck, you can post a question as an issue on this repo or post on RStudio Community

During the tutorial, I was excited and proud to publicly announce the book Julia and I are working on! The book is called “Supervised Machine Learning for Text Analysis in R” to be published in the Chapman & Hall/CRC Data Science Series! An online version is and will continue to be available at This year long project have been an exciting time of my life and I have been learning about, not just about the subject matter at hand, but about publishing, polishing and reviewing.

The book has been divided into 3 main sections:

I already have a lot of people to thank for making this possible!