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020 _a9781449388348 (pbk.)
020 _a1449388345 (pbk.)
035 _a(OCoLC)ocn657600734
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042 _alccopycat
050 0 0 _aQA76.9.D343
_bR87 2011
082 0 4 _a006.312
_222
100 1 _aRussell, Matthew A.
_c(Computer scientist)
245 1 0 _aMining the social web /
_cMatthew A. Russell.
246 1 4 _aMining the social web :
_banalyzing data from Facebook, Twitter, LinkedIn, and other social media sites
250 _a1st ed.
260 _aSebastopol, CA :
_bO'Reilly,
_c2011.
300 _axx, 332 p. :
_bill. ;
_c24 cm.
500 _aIncludes index.
505 0 _aIntroduction : 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.
520 _aFacebook, 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.
650 0 _aData mining.
650 0 _aOnline social networks.
650 7 _aArtificial intelligence.
_2sears
650 7 _aSocial networking.
_2sears
856 4 2 _3Online compendium
_uhttps://github.com/ptwobrussell/Mining-the-Social-Web
856 4 2 _3Official Twitter account
_uhttp://twitter.com/#!/SocialWebMining
_z@SocialWebMining
906 _a7
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_ccopycat
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