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...
Đã lưu trong:
| Tác giả khác: | |
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| Ngôn ngữ: | Undetermined English |
| Được phát hành: |
Boca Raton
Taylor & Francis
2014
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| Những chủ đề: | |
| Các nhãn: |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
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| Tóm tắt: | 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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| Mô tả vật lý: | xxxix, 426 p. ill. 24 cm |
| Thư mục: | Includes bibliographical references and index |
| số ISBN: | 1466557400 9781466557406 |