Mining the social web /

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Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media-including who's connecting with whom, what th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Russell, Matthew A. (Computer scientist) (Autor), Klassen, Mikhail (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, 2018.
Temas:
Data mining.
Online social networks.
Data Mining
Exploration de données (Informatique)
Réseaux sociaux (Internet)
COMPUTERS > General.
Data mining
Online social networks
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • I.A Guided Tour of the Social Web
  • Prelude
  • 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 Instagram: Computer Vision, Neural Networks, Object Recognition, and Face Detection
  • 4. Mining LinkedIn: Faceting Job Titles, Clustering Colleagues, and More
  • 5. Mining Text Files: Computing Document Similarity, Extracting Collocations, and More
  • 6. Mining Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts, and More
  • 7. Mining Mailboxes: Analyzing Who's Talking to Whom About What, How Often, and More
  • 8. Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More
  • II. Twitter Cookbook
  • 9. Twitter Cookbook
  • III. Appendixes
  • A. Information About This Book's Virtual Machine Experience
  • B. OAuth Primer
  • C. Python and Jupyter Notebook Tips and Tricks.

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