Mining user generated content
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...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
Taylor & Francis
[2014]
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| Edición: | 1st edition |
| Colección: | Social Media and Social Computing
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629747306719 |
| Sumario: | 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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| Notas: | A Chapman and Hall book. |
| Descripción Física: | 1 online resource (446 p.) |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9780429087615 9781466557413 |
