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Record Nr. |
UNINA9910800154703321 |
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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 |
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Pubbl/distr/stampa |
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Boca Raton : , : Taylor & Francis, , [2014] |
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©2014 |
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ISBN |
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0-429-08761-6 |
1-4665-5741-9 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (446 p.) |
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Collana |
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Chapman & Hall/CRC social media and social computing series |
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Classificazione |
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COM021000COM021030COM079010 |
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Disciplina |
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Soggetti |
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Data mining |
User-generated content |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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part I. Introduction -- part II. Mining different media -- part III. Mining and searching different types of UGC -- part IV. Applications. |
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Sommario/riassunto |
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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 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 |
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