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...
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| Другие авторы: | |
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| Язык: | Undetermined English |
| Опубликовано: |
Boca Raton
Taylor & Francis
2014
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
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| Итог: | 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 |
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| Объем: | xxxix, 426 p. ill. 24 cm |
| Библиография: | Includes bibliographical references and index |
| ISBN: | 1466557400 9781466557406 |