Mining the Social Web (BOK)

Matthew Russell

399,00 39900
Sendes vanligvis innen 5-15 dager
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 IPython Notebook, 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.

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2013 Forfatter Matthew Russell
Forlag
O'REILLY
ISBN 9781449367619
Antall sider 448 Dimensjoner 18cm x 23,4cm x 2,7cm
Vekt 788 gram Leverandør Bertram Trading Ltd

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