Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More Author Matthew A. Russell
ISBN-10 1449367615
ISBN-13 9781449367619
Year 2013-10-20
Pages 448
Language English
Publisher O’Reilly Media
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How can you tap into the wealth of social web data to discover whos making connections with whom what theyre talking about and where theyre located With this expanded and thoroughly revised edition youll 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 OReillys popular problem solution discussion cookbook formatThe example code for this unique data science book is maintained in a public GitHub repository Its 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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