Welcome to the R4DS Text Mining with R Book Club!
We are working together to read Text Mining with R by Julia Silge and David Robinson (O'reilly Media, Inc, copyright 2017, 9781491981658). Join the #book_club-tidytext channel on the R4DS Slack to participate. As we read, we are producing notes about the book.
If you would like to present, please add your name next to a chapter using the GitHub Web Editor!
Cohort 1: (finished!) - Wednesdays, 4:00pm EST/EDT
Past Meetings
- 2021-09-22: Introduction - Shamsuddeen
- 2021-09-30: Chapter 1: The tidy text format - Kim
- 2021-10-06: Chapter 2: Sentiment analysis with tidy data - Shamsuddeen
- 2021-10-13: Chapter 3: Analyzing word and document frequency - Pavitra
- 2021-11-10: Chapter 4: Relationships between words - Justin D.
- 2021-10-27: Chapter 5: Converting to and from non-tidy formats - Pavitra
- 2021-11-17: Chapter 6: Topic modeling - Justin D.
- 2021-12-01: Chapter 7: Case study: comparing Twitter archives - Shamsuddeen
- 2021-12-08: Chapters 8-9: Case studies - Layla & Justin D.
This repository is structured as a {bookdown} site. To present, follow these instructions:
- Setup Github Locally
- Fork this repository.
- Create a New Project in RStudio using your fork.
- Install dependencies for this book with
devtools::install_dev_deps()(technically optional but it's nice to be able to rebuild the full book). - Create a New Branch in your fork for your work.
- Edit the appropriate chapter file, if necessary. Use
##to indicate new slides (new sections). - If you use any packages that are not already in the
DESCRIPTION, add them. You can useusethis::use_package("myCoolPackage")to add them quickly! - Commit your changes.
- Push your changes to your branch.
- Open a Pull Request (PR) to let us know that your slides are ready.
When your PR is checked into the main branch, the bookdown site will rebuild, adding your slides to this site.