21 Recipes for Mining Twitter Data with rtweet

21 Recipes for Mining Twitter Data with rtweet by Bob Rudis.

From the preface:

I’m using this as way to familiarize myself with bookdown so I don’t make as many mistakes with my web scraping field guide book.

It’s based on Matthew R. Russell’s book. That book is out of distribution and much of the content is in Matthew’s “Mining the Social Web” book. There will be many similarities between his “21 Recipes” book and this book on purpose. I am not claiming originality in this work, just making an R-centric version of the cookbook.

As he states in his tome, “this intentionally terse recipe collection provides you with 21 easily adaptable Twitter mining recipes”.

Rudis has posted about this editing project at: A bookdown “Hello World” : Twenty-one (minus two) Recipes for Mining Twitter with rtweet, which you should consult if you want to contribute to this project.

Working through 21 Recipes for Mining Twitter Data with rtweet will give you experience proofing a text and if you type in the examples (no cut-n-paste), you’ll develop rtweet muscle memory.

Enjoy!

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