ISBN 9789351103110,Mining the Social Web

Mining the Social Web

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Shroff Publishers & Distributors Pvt Ltd

Publication Year 2013

ISBN 9789351103110

ISBN-10 9351103110

Paper Back

Edition 2nd
Number of Pages 468 Pages
Language (English)

Social Science

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, Analise 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 OReillys"popular problem / solution discussion" cookbook format. The 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