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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Databases Data mining

• Full title: 21 Recipes for Mining Twitter
• Author: Matthew A. Russell
• Language: English
• Binding: Paperback
• Number of pages: 76
• EAN: 9781449303167
• ISBN: 1449303161
• ID: 04802344
• Publisher: O'Reilly Media, Inc, USA
• Weight: 152 g
• Dimensions: 233 × 177 × 8 mm
• Date of publishing: 22. March 2011

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