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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Moens, Marie-Francine, 1957- (Editor ), Li, Juanzi (Editor ), Chua, T. S. (Tat-Seng), 1955- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, Taylor & Francis Group, [2014]
Colección:Chapman & Hall/CRC social media and social computing series.
Temas:
Data mining.
User-generated content.
Data Mining
Exploration de données (Informatique)
Contenu créé par l'utilisateur.
COMPUTERS > General.
Data mining
User-generated content
Acceso en línea:Texto completo
Texto completo

MARC

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245 0 0 |a Mining user generated content /  |c edited by Marie-Francine Moens, Juanzi Li, Tat-Seng Chua. 
264 1 |a Boca Raton :  |b CRC Press, Taylor & Francis Group,  |c [2014] 
264 4 |c ©20 
264 4 |c ©2014 
300 |a 1 online resource (xxxix, 426 pages) :  |b illustrations (some color) 
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490 1 |a Chapman & Hall/CRC social media and social computing series 
500 |a "A Chapman & Hall book." 
520 |a 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. 
504 |a Includes bibliographical references (pages 329-396). 
505 0 |a 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. 
588 0 |a Online resource; title from PDF title page (ebrary, viewed February 26, 2014). 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Data mining. 
650 0 |a User-generated content. 
650 2 |a Data Mining 
650 6 |a Exploration de données (Informatique) 
650 6 |a Contenu créé par l'utilisateur. 
650 7 |a COMPUTERS  |x General.  |2 bisacsh 
650 7 |a Data mining  |2 fast 
650 7 |a User-generated content  |2 fast 
700 1 |a Moens, Marie-Francine,  |d 1957-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJyRFMK498399c8xmVXmVC 
700 1 |a Li, Juanzi,  |e editor. 
700 1 |a Chua, T. S.  |q (Tat-Seng),  |d 1955-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjGTXcgbkjQ4KWpVC3hgDq 
758 |i has work:  |a Mining user generated content (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCG3mJjTCh46HtmqQTq7rFX  |4 https://id.oclc.org/worldcat/ontology/hasWork 
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