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...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton
CRC Press, Taylor & Francis Group
[2014]
|
| Schriftenreihe: | Chapman & Hall/CRC social media and social computing series
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781466557413/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | "A Chapman & Hall book.". - Includes bibliographical references (pages 329-396). - Online resource; title from PDF title page (ebrary, viewed February 26, 2014) |
| Umfang: | 1 Online-Ressource (xxxix, 426 Seiten) Illustrationen (some color) |
| ISBN: | 9781466557413 1466557419 |
Internformat
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| 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. Mining User Generated Content is the first focused effort to compile state-of-the-art. | ||
| 650 | 0 | |a Data mining | |
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| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:23:54Z |
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| isbn | 9781466557413 1466557419 |
| language | English |
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| physical | 1 Online-Ressource (xxxix, 426 Seiten) Illustrationen (some color) |
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| publishDate | 2014 |
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| publisher | CRC Press, Taylor & Francis Group |
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| series2 | Chapman & Hall/CRC social media and social computing series |
| spelling | Mining user generated content edited by Marie-Francine Moens, Juanzi Li, Tat-Seng Chua Boca Raton CRC Press, Taylor & Francis Group [2014] ©20 ©2014 1 Online-Ressource (xxxix, 426 Seiten) Illustrationen (some color) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Chapman & Hall/CRC social media and social computing series "A Chapman & Hall book.". - Includes bibliographical references (pages 329-396). - Online resource; title from PDF title page (ebrary, viewed February 26, 2014) 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. Data mining User-generated content Data Mining Exploration de données (Informatique) Contenu créé par l'utilisateur COMPUTERS ; General Moens, Marie-Francine 1957- HerausgeberIn edt Li, Juanzi HerausgeberIn edt Chua, T. S. 1955- HerausgeberIn edt 9781466557406 Erscheint auch als Druck-Ausgabe 9781466557406 |
| spellingShingle | Mining user generated content Data mining User-generated content Data Mining Exploration de données (Informatique) Contenu créé par l'utilisateur COMPUTERS ; General |
| title | Mining user generated content |
| title_auth | Mining user generated content |
| title_exact_search | Mining user generated content |
| title_full | Mining user generated content edited by Marie-Francine Moens, Juanzi Li, Tat-Seng Chua |
| title_fullStr | Mining user generated content edited by Marie-Francine Moens, Juanzi Li, Tat-Seng Chua |
| title_full_unstemmed | Mining user generated content edited by Marie-Francine Moens, Juanzi Li, Tat-Seng Chua |
| title_short | Mining user generated content |
| title_sort | mining user generated content |
| topic | Data mining User-generated content Data Mining Exploration de données (Informatique) Contenu créé par l'utilisateur COMPUTERS ; General |
| topic_facet | Data mining User-generated content Data Mining Exploration de données (Informatique) Contenu créé par l'utilisateur COMPUTERS ; General |
| work_keys_str_mv | AT moensmariefrancine miningusergeneratedcontent AT lijuanzi miningusergeneratedcontent AT chuats miningusergeneratedcontent |