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Mining the social web / Matthew A. Russell.

By: Publication details: Sebastopol, CA : O'Reilly, 2014.Edition: 2nd edDescription: xxiv, 421 p. : ill. ; 24 cmISBN:
  • 9781449367619
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 2014
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.
Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Book Book NMC Library Stacks QA76.9 .D343 R87 2014 (Browse shelf(Opens below)) 1 Available 33039001357648

Includes index.

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.

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.

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