Mining the Social Web

Mining the Social Web

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How can you tap into the wealth of social web data to discover whoa€™s making connections with whom, what theya€™re talking about, and where theya€™re located? With this expanded and thoroughly revised edition, youa€™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 Oa€™Reillya€™s popular qproblem/solution/discussionq cookbook format The example code for this unique data science book is maintained in a public GitHub repository. Ita€™s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.For example, you might expect a dinner date between two individuals who prefer to cook vegetarian meals with organic ... Consider the following code samples that parse web paa€ ges more of a starting template than a robust, full-spec parser.

Title:Mining the Social Web
Author:Matthew A. Russell
Publisher:"O'Reilly Media, Inc." - 2013-10-04


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