21 Recipes for Mining Twitter
By
Matthew A. Russell (Author)
Paperback
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Description
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. 1, black & white illustrations
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).
More Details
- Contributor: Matthew A. Russell
- Imprint: O'Reilly Media
- ISBN13: 9781449303167
- Number of Pages: 76
- Packaged Dimensions: 178x233x4mm
- Packaged Weight: 137
- Format: Paperback
- Publisher: O'Reilly Media
- Release Date: 2011-03-22
- Binding: Paperback / softback
- Biography: 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).
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