By Matthew A. Russell
Millions of public Twitter streams harbor a wealth of information, and when you mine them, you could achieve a few necessary insights. This brief and concise booklet deals a suite of recipes that will help you extract nuggets of Twitter details utilizing easy-to-learn Python instruments. every one recipe bargains a dialogue of the way and why the answer works, so that you can quick adapt it to suit your specific wishes. The recipes comprise options to:
- Use OAuth to entry Twitter data
- Create and examine graphs of retweet relationships
- Use the streaming API to reap tweets in realtime
- Harvest and study associates and followers
- Discover friendship cliques
- Summarize webpages from brief URLs
This ebook is an ideal significant other to O’Reilly's Mining the Social Web.
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Additional info for 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data by Matthew A. Russell