Book Review: “21 Recipes for Mining Twitter” by Matthew Russell

The book 21 Recipes for Mining Twitter is an add-on to another book I am reviewing by Matthew Russell, Mining the Social Web.  

This small, yet incredibly useful, book covers 21 tips and accompanying code for mining Twitter data.  There is no fluff in this 60 page book with page 1 diving right into OAuth access.

Each of the tips (recipes) start with the problem , a brief solution and then the lengthy solution and code samples to bring the two together.  Everything in the book is written in Python with much of it being made accessible via easy_install.

While the majority of this book is code, it is an incredible companion to get you moving in pulling data, trends or just about anything from Twitter.  Creating and analyzing graphs becomes easier, discovering friendships and cliques, pulling geo-data and even finding a retweet’s source.

Much of the metadata we produce via Twitter gets lost instantly, since no one digs and mines the underlying data. This book can help you build some product or service you want around Twitter and hands you basic code to get you started. The book  21 Recipes for Mining Twitter is a great resource.

Disclosure: The links above are Amazon affiliate.