By Matthew A. Russell
Millions of public Twitter streams harbor a wealth of knowledge, and when you mine them, you could achieve a few important insights. This brief and concise booklet bargains a set of recipes that will help you extract nuggets of Twitter info utilizing easy-to-learn Python instruments. each one recipe bargains a dialogue of ways and why the answer works, so that you can fast adapt it to suit your specific wishes. The recipes contain thoughts to:
- Use OAuth to entry Twitter data
- Create and learn graphs of retweet relationships
- Use the streaming API to reap tweets in realtime
- Harvest and examine acquaintances and followers
- Discover friendship cliques
- Summarize webpages from brief URLs
This e-book is an ideal better half to O’Reilly's Mining the Social Web.
Read Online or Download 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data PDF
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21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data by Matthew A. Russell