1.

Record Nr.

UNINA9910800154703321

Titolo

Mining user generated content / / edited by Marie-Francine Moens, Katholieke Universiteit Leuven, Belgium, Juanzi Li, Tsinghua University, China, Tat-Seng Chua, National University of Singapore, Singapore

Pubbl/distr/stampa

Boca Raton : , : Taylor & Francis, , [2014]

©2014

ISBN

0-429-08761-6

1-4665-5741-9

Edizione

[1st edition]

Descrizione fisica

1 online resource (446 p.)

Collana

Chapman & Hall/CRC social media and social computing series

Classificazione

COM021000COM021030COM079010

Disciplina

006.3/12

006.312

Soggetti

Data mining

User-generated content

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

A Chapman and Hall book.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

part I. Introduction -- part II. Mining different media -- part III. Mining and searching different types of UGC -- part IV. Applications.

Sommario/riassunto

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 to tackle the huge amount of real-time, multimedia, and multilingual data. Researchers must also know how to assess the social aspects of UGC, such as user relations and influential users.Mining User Generated Content is the first focused effort to compile state-of-the-art