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Author: Matthew A Russell ISBN10: 1449368190 ISBN13: 9781449368197 Pages: 400

Description: 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 sitesApply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language dataBootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projectsBuild interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkitTake 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-touse collection of IPython Notebooks.

Data Mining Facebook, Twitter, Linkedin, Google+ ...

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BOOKS BY MATTHEW A. RUSSELL. An e-book is definitely an electronic edition of a standard print guide that can be study by utilizing a private personal ...