21 Recipes for Mining Twitter (epub3)

Referentie: 9781449303853

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€ 13,50

Datasheet

subtitel Distilling Rich Information from Messy Data
auteur(s) Matthew A. Russell
editie 1
ean 9781449303853
aantal pagina's 76
publicatie datum 2011-01-31
taal EN
formaat EPUB3
bestandsgrootte 2.37 MB

Meer informatie

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.

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