Mining the Social Web - Softcover

Russell, Matthew A.

 
9781449367619: Mining the Social Web
Softcover
ISBN 10: 1449367615 ISBN 13: 9781449367619
Verlag: O'Reilly Media, 2013

Inhaltsangabe

How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.

  • Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites
  • Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data
  • Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects
  • Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit
  • Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format

The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.

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Über die Autorin bzw. den Autor

Matthew Russell, Chief Technology Officer 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)

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Verlag
O'Reilly Media
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
1449367615
ISBN 13 
9781449367619
Einband
Tapa blanda
Anzahl der Seiten
421
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar