Mining user generated content /

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Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other networking sites, the social media shared by users and the associated metadata are collectively known as user generated content (UGC). To analyze UGC and glean insight about user behavior, robust techniques are needed t...

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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Moens, Marie-Francine, 1957- (Editor), Li, Juanzi (Editor), Chua, T. S. (Tat-Seng), 1955- (Editor)
Format: Electronic eBook
Language:Inglés
Published: Boca Raton : CRC Press, Taylor & Francis Group, [2014]
Series:Chapman & Hall/CRC social media and social computing series.
Subjects:
Data mining.
User-generated content.
Data Mining
Exploration de données (Informatique)
Contenu créé par l'utilisateur.
COMPUTERS > General.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Mining User Generated Content and Its Applications
  • Social Annotation
  • Sentiment Analysis in UGC
  • Mining User Generated Data for Music Information Retrieval
  • Graph and Network Pattern Mining
  • Knowledge Extraction from Wikis/BBS/Blogs/News Web Sites
  • User Generated Content Search
  • Annotating Japanese Blogs with Syntactic and Affective Information
  • Question-Answering of UGC
  • Summarization of UGC
  • Recommender Systems
  • Conclusions and a Road Map for Future Developments.

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