Placeholder text

Go to cart

Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Google+, Github, and More

By Russell, Matthew A.

Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Google+, Github, and More Computer Science

Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Google+, Github, and More

0 - Used - good
Description
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 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
Binding:
Paperback
Edition:
2
Number of Pages:
448
Release Date:
2013-10-30
Publication Date:
2013-10-20
Publisher:
OREILLY MEDIA
Languages:
Original: English
ISBN10:
1449367615
ISBN13:
9781449367619
Weight:
791 g
Height:
179 cm
Width:
233 cm
Thickness:
27 cm
Currently sold out