Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites

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$10.80
UPC:
9781449388348
Maximum Purchase:
3 units
Publisher:
O'Reilly Media; 1 edition (February 11, 2011)
Binding:
Paperback
Pages:
356
Shipping Weight:
1.3 pounds
Language:
English
Product Dimensions:
7 x 0.9 x 9.2 inches
ISBN-10:
1449388345
ISBN-13:
978-1449388348
Author:
Matthew A. Russell

Product Overview

Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, and Google+? This refreshed edition helps you discover whos making connections with social media, what theyre talking about, and where theyre located. Youll learn how to combine social web data, analysis techniques, and visualization to find what youve been looking for in the social haystackas well as useful information you didnt know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkitsA rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data."--Alex Martelli, Senior Staff Engineer, Google

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