000			01949nam a2200241Ia 4500
003			NULRC
005			20250520102718.0
008			250520s9999 xx 000 0 und d
020			_a9781449367619
040			_cNULRC
050			_aQA 76.9.D343 .R87 2014
100			_aRussell, Matthew A. _eauthor
245		0	_aMining the social web : _bdata mining facebook, twitter, linkedin, google+, github and more / _cMatthew A. Russell
250			_a2nd Edition
260			_aBeijing, China : _bO'Reilly Media, Incorporated, _cc2014
300			_axxiv, 421 pages : _billustrations ; _c24 cm
365			_bUSD28.17
504			_aIncludes index.
505			_aPart I. A guided tour of the social web -- 1. Mining twitter : exploring trending topics, discovering what people are talking about and more -- 2. Mining facebook : analyzing fan pages, examining friendships and more -- 3. Mining linkedin : faceting job titles, clustering colleagues, and more -- 4. Mining google+ : computing document similarity, extracting collocations, and more -- 5. Mining web : using natural language processing to understand human language, summarize blog posts, and more -- 6. Mining mailboxes : analyzing who's talking to whom about what, how often and more -- 7. Mining GitHub : Inspecting software collaboration habits, building interest graphs, and more -- 8. Mining the semantically marked-up web : extracting microformats, inferencing over RDF, and more -- Part II. Twitter cookbook -- 9. Twitter cookbook.
520			_aThis book has been carefully designed to provide an incredible learning experience for a particular target audience, and in order to avoid any unnecessary confusion about its scope or purpose by way of disgruntled emails, bad book reviews, or other misunderstandings that can come up, the remainder of this preface tries to help you determine whether you are part of that target audience.
650			_aELECTRONIC BOOKS
942			_2lcc _cBK
999			_c13583 _d13583