21 Recipes for Mining Twitter

Paperback: 72 pages
Publisher: O&#8217;Reilly Media (January, 2011)
Language: English
ISBN-10: 1449303161
ISBN-13: 978-1449303167

02/24/2011 · No Responses

Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to:

Use OAuth to access Twitter data
Create and analyze graphs of retweet relationships
Use the streaming API to harvest tweets in realtime
Harvest and analyze friends and followers
Discover friendship cliques
Summarize webpages from short URLs

This book is a perfect companion to O’Reilly’s Mining the Social Web.

About the Author
Matthew Russell, Vice President of Engineering at Digital Reasoning Systems (http://www.digitalreasoning.com/) and Principal at Zaffra (http://zaffra.com), is a computer scientist who is passionate about data mining, open source, and web application technologies. He’s also the author of Dojo: The Definitive Guide (O’Reilly).