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Description
21 Recipes for Mining TwitterMillions 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
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 real-time.
Harvest and analyze friends and followers.
Discover friendship cliques.
Summarize webpages from short URLs.
This book is a perfect companion to OReilly's Mining the Social Web.
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