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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| LEADER | 01293nam a2200277Ia 4500 | ||
|---|---|---|---|
| 001 | TVU_20688 | ||
| 008 | 210423s9999 xx 000 0 und d | ||
| 020 | |a 1466557400 | ||
| 020 | |a 9781466557406 | ||
| 041 | |a eng | ||
| 082 | |a 6.312 | ||
| 082 | |b M311 | ||
| 245 | 0 | |a Mining user generated content | |
| 245 | 0 | |c editors, Marie-Francine Moens, Juanzi Li, Tat-Seng Chua | |
| 260 | |a Boca Raton | ||
| 260 | |b Taylor & Francis | ||
| 260 | |c 2014 | ||
| 300 | |a xxxix, 426 p. | ||
| 300 | |b ill. | ||
| 300 | |c 24 cm | ||
| 504 | |a Includes bibliographical references and index | ||
| 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 | ||
| 650 | |a Data mining; User-generated content | ||
| 700 | |a editors; Marie-Francine Moens; Juanzi Li; Tat-Seng Chua | ||
| 700 | |e editor of compilation | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Trà Vinh | ||