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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton
CRC Press, Taylor & Francis Group
2014
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| Series: | Chapman & Hall/CRC social media and social computing series
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | 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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| Item Description: | "A Chapman & Hall book." |
| Physical Description: | xxxix, 426 pages illustrations (some color) |
| ISBN: | 9781466557413 |