21 Recipes for Mining Twitter

Matthew A. Russell (Autor)

Buch | Softcover

76 Seiten

2011
O'Reilly Media (Verlag)
978-1-4493-0316-7 (ISBN)

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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.

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).

Erscheint lt. Verlag	5.4.2011
Reihe/Serie	REAL TIME BOOKS
Verlagsort	Sebastopol
Sprache	englisch
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
ISBN-10	1-4493-0316-1 / 1449303161
ISBN-13	978-1-4493-0316-7 / 9781449303167
Zustand	Neuware