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Mining the social web

Author: Matthew A Russell, (Computer scientist)
Publisher: Sebastopol, Calif. : O'Reilly, 2011.
Edition/Format:   eBook : Document : English : 1st edView all editions and formats
Database:WorldCat
Summary:
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This book shows you how to answer these questions and more. Each chapter introduces techniques for mining data in different areas of the social web, including blogs and email.
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Russell, Matthew A., computer scientist.
Mining the social web.
Sebastopol, CA : O'Reilly, 2011
(OCoLC)657600734
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Matthew A Russell, (Computer scientist)
ISBN: 9781449394752 1449394752 9781449303938 1449303935
OCLC Number: 738406410
Notes: Includes index.
Description: 1 online resource (xx, 332 p.) : ill.
Contents: Introduction : hacking on Twitter data --
Microformats : semantic markup and common sense collide --
Mailboxes : oldies but goodies --
Twitter : friends, followers, and setwise operations --
Twitter : the tweet, the whole tweet, and nothing but the tweet --
LinkedIn : clustering your professional network for fun (and profit?) --
Google buzz : TF-IDF, cosine similarity, and collocations --
Blogs et al. : natural language processing (and beyond) --
Facebook : the all-in-one wonder --
The semantic web : a cocktail discussion.
Other Titles: Mining the social web :
Responsibility: Matthew A. Russell.

Abstract:

Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This book shows you how to answer these questions and more. Each chapter introduces techniques for mining data in different areas of the social web, including blogs and email.
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