|Title||:||21 Recipes for Mining Twitter|
|Author||:||Matthew A. Russell|
|Release||:||January 31, 2011|
|File type||:||PDF, ePub, eBook|
|File||:||21 Recipes for Mining Twitter-Matthew A. Russell.pdf|
|Last Checked||:||23 minutes ago|
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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 dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtimeHarvest and analyze friends and followersDiscover friendship cliquesSummarize webpages from short URLs This book is a perfect companion to O’Reilly's Mining the Social Web .
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