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Mining the social web / Matthew A. Russell.

By: Material type: TextTextPublication details: Sebastopol, CA : O'Reilly, 2011.Edition: 1st edDescription: xx, 332 p. : ill. ; 24 cmISBN:
  • 9781449388348 (pbk.)
  • 1449388345 (pbk.)
Other title:
  • Mining the social web : analyzing data from Facebook, Twitter, LinkedIn, and other social media sites [Cover title]
Subject(s): DDC classification:
  • 006.312 22
LOC classification:
  • QA76.9.D343 R87 2011
Online resources:
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.
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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Holdings
Item type Current library Home library Shelving location Call number Status Barcode
Books Books Main Campus Library University of Eastern Africa, Baraton Main Stack QA 76.9 .D343 R87 2011 (Browse shelf(Opens below)) Available 80275
Browsing University of Eastern Africa, Baraton shelves, Shelving location: Main Stack Close shelf browser (Hides shelf browser)
QA 76.9 .D3 S5637 2006 c.2 Database system concepts / QA 76.9 .D3 S5637 2006 c.3 Database system concepts / QA 76.9 D3 T39 SQL all-in-one desk reference for dummies / QA 76.9 .D343 R87 2011 Mining the social web / QA 76.9 .D348 B83 2003 c1 Disaster proofing information systems : QA 76.9 .D348 B83 2003 c2 Disaster proofing information systems : QA 76.9 .D35 M47 2008 c.1 Algorithms and data structures :

Includes index.

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.

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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