Description

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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

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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)."