Mining the social web /

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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 int...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Russell, Matthew A. (Computer scientist)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, Calif. : O'Reilly, 2011.
Edición:1st ed.
Temas:
Data mining.
Online social networks.
Internet searching.
Web usage mining.
World Wide Web.
Computer science.
Library Science.
Exploration de données (Informatique)
Réseaux sociaux (Internet)
COMPUTERS / Database Management / Data Mining.
COMPUTERS > Database Management > Data Mining.
Data Mining
World Wide Web 3.0
Social Media
Soziale Software
Web 2.0 > Soziales Netzwerk > Data Mining.
Data Mining > Web 2.0 > Soziales Netzwerk.
Data Mining > Soziales Netzwerk > Web 2.0.
Soziales Netzwerk > Web 2.0 > Data Mining.
Artificial intelligence.
Social networking.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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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