Mining the social web
Material type: TextPublication details: New Delhi O'Reilly, ©2011.Description: xx, 332 p. : ill. ; 24 cmISBN:- 1449388345
- 9789350232941
- Mining the social web : analyzing data from Facebook, Twitter, LinkedIn, and other social media sites [Cover title]
- 006.312 22 RUS-M
- QA76.9.D343 R87 2011
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | IIITD General Stacks | Computer Science and Engineering | 006.312 RUS-M (Browse shelf(Opens below)) | Available | G00035 | ||
Books | IIITD Reference | Computer Science and Engineering | REF 006.312 RUS-M (Browse shelf(Opens below)) | Available | 001462 |
Browsing IIITD shelves, Shelving location: Reference, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
REF 006.312 MCC-D Data mining and predictive analysis : | REF 006.312 MEN-I Investigative data mining for security and criminal detection | REF 006.312 OSI-D Deep learning cookbook : practical recipes to get started quickly | REF 006.312 RUS-M Mining the social web | REF 006.312 SKI-K Knowledge discovery for counterterrorism and law enforcement | REF 006.32 HAY-N Neural networks and learning machines | REF 006.32 HOP-W Weakly connected neural networks |
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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