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003			DLC
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008			110628s2014 caua 001 0 eng
015			_aGBB0A1913 _2bnb
016	7		_a015635239 _2Uk
020			_a9781449367619
040			_aUKM _beng _cUKM _dBTCTA _dOCL _dYDXCP _dORX _dMNW _dSINLB _dBWX _dVP@ _dOCL _dMIA _dMOU _dDLC _dMvI
042			_alccopycat
050	0	0	_aQA76.9.D343 _bR87 2014
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			_a2nd ed.
260			_aSebastopol, CA : _bO'Reilly, _c2014.
300			_axxiv, 421 p. : _bill. ; _c24 cm
500			_aIncludes index.
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.
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.
650		0	_aData mining.
650		0	_aOnline social networks. _93942
650		7	_aArtificial intelligence. _2sears _92081
650		7	_aSocial networking. _2sears
948			_au596326
949			_aQA76.9 .D343 R87 2014 _wLC _c1 _hEY8Z _i33039001357648
596			_a1
903			_a31762
999			_c31762 _d31762