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Mining the Social Web by Matthew Russell (Paperback, 2013)

About this product

About this product

Product Information

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 Identifiers

Publisher
O'reilly Media, Inc, USA
ISBN-13
9781449367619
eBay Product ID (ePID)
188393987

Product Key Features

Author
Matthew Russell
Publication Name
Mining the Social Web
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2013
Type
Textbook
Number of Pages
448 Pages

Dimensions

Item Height
233mm
Item Width
178mm

Additional Product Features

Title_Author
Matthew Russell
Country/Region of Manufacture
United States

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