21 Recipes for Mining Twitter | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
A01=Matthew A. Russell
Age Group_Uncategorized
Age Group_Uncategorized
Author_Matthew A. Russell
automatic-update
Category1=Non-Fiction
Category=UNF
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch

21 Recipes for Mining Twitter

English

By (author): Matthew A. Russell

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. See more
Current price €28.49
Original price €29.99
Save 5%
A01=Matthew A. RussellAge Group_UncategorizedAuthor_Matthew A. Russellautomatic-updateCategory1=Non-FictionCategory=UNFCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€20 to €50PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 229mm
  • Publication Date: 05 Apr 2011
  • Publisher: O'Reilly Media
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781449303167

About Matthew A. Russell

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).

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept