ENGLISH

Mining the social web: data mining Facebook, Twitter, LinkedIn, Google+, GitHub, and more

By Matthew A. Russell

Book information

Publisher
O'Reilly Media
Year
2013
ISBN
1449367615, 9781449367619, 1449368204, 9781449368203
Google Books ID
E-AHnQEACAAJ
Language
english
Format
PDF
Filesize
21 MB (22068313 bytes)
Edition
2
Pages
448\448
Scanned
no
Time added
2013-11-10 19:52:50
Информатика и вычислительная техника;Искусственный

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 formatThe 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.

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