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21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data - Couverture souple

Russell, Matthew A.

 
9781449303167: 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
Couverture souple
ISBN 10 : 1449303161 ISBN 13 : 9781449303167
Editeur : O'Reilly Media, 2011

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Matthew Russell, Vice President of Engineering at Digital Reasoning Systems (http: //www.digitalreasoning.com/) and Principal at Zaffra (http: //zaffra.com), is a computer scientist who is passionate about data mining, open source, and web application technologies. He's also the author of Dojo: The Definitive Guide (O'Reilly).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
O'Reilly Media
Date d'édition
2011
Langue
anglais
ISBN 10 
1449303161
ISBN 13 
9781449303167
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
O'Reilly
https://oreilly.com

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Etats-Unis
Personne responsable
non disponible