Mining the Social Web
Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
Matthew A. Russell(Author)
O'Reilly (Publisher)
1st Edition
Published on 8. March 2011
Book
350 pages
978-1-4493-8834-8 (ISBN)
Article exhausted; check for reprint
Description
Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, and Google+? This refreshed edition helps you discover who's making connections with social media, what they're talking about, and where they're located. You'll learn how to combine social web data, analysis techniques, and visualization to find what you've been looking for in the social haystack-as well as useful information you didn't 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 landscape
* Use 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 collect
* Explore social connections in microformats with the XHTML Friends Network
* Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
* Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits
"A 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
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 landscape
* Use 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 collect
* Explore social connections in microformats with the XHTML Friends Network
* Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
* Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits
"A 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
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Illustrations
1, black & white illustrations
Dimensions
Height: 233 mm
Width: 178 mm
Thickness: 18 mm
Weight
571 gr
ISBN-13
978-1-4493-8834-8 (9781449388348)
Schweitzer Classification
Other editions
New editions

Matthew A. Russell | Mikhail Klassen
Mining the Social Web
Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Book
01/2019
3rd Edition
O'Reilly
€52.50
Shipment within 10-20 days

Matthew A. Russell
Mining the Social Web
Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
Book
10/2013
2nd Edition
O'Reilly
€37.00
Article exhausted; check for reprint
Person
Matthew A. Russell is a computer scientist who currently lives in Franklin, TN. Hacking and writing are two activities essential to his renaissance man regimen.