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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



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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 Visualizza cluster
Pubblicazione: Boca Raton : , : Taylor & Francis, , [2014]
©2014
Edizione: 1st edition
Descrizione fisica: 1 online resource (446 p.)
Disciplina: 006.3/12
006.312
Soggetto topico: Data mining
User-generated content
Classificazione: COM021000COM021030COM079010
Persona (resp. second.): MoensMarie-Francine <1957->
LiJuanzi
ChuaTat-Seng
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
Titolo autorizzato: Mining user generated content  Visualizza cluster
ISBN: 0-429-08761-6
1-4665-5741-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910789123003321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Social Media and Social Computing
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