Mining the Social Web (1449367615)

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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.

Product details

• Format Paperback | 448 pages
• Dimensions 178 x 233 x 23.88mm | 730.28g
• Publication date 05 Nov 2013
• Publisher O'Reilly Media
• Publication City/Country Sebastopol, United States
• Language English
• Edition Revised
• Edition Statement 2nd Revised edition
• Illustrations note illustrations
• ISBN10 1449367615
• ISBN13 9781449367619
• Bestsellers rank 321,603

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