21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
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:
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- 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.
21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
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.
29.99
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21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
7221 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
72Paperback
$29.99
29.99
In Stock
Product Details
ISBN-13: | 9781449303167 |
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Publisher: | O'Reilly Media, Incorporated |
Publication date: | 03/07/2011 |
Pages: | 72 |
Product dimensions: | 6.90(w) x 9.00(h) x 0.30(d) |
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