New Arrivals Search Results
Mining user generated content
Title
Mining user generated content / edited by Marie-Francine Moens, Juanzi Li, Tat-Seng Chua.
ISBN
9781466557413
1466557419
9781466557406
1466557400
Publication
Boca Raton : CRC Press, Taylor & Francis Group, [2014]
Copyright Notice Date
©20
©2014
Physical Description
1 online resource (xxxix, 426 pages) : illustrations (some color)
Local Notes
Access is available to the Yale community.
Notes
"A Chapman & Hall book."
Access and use
Access restricted by licensing agreement.
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.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Reproduction of (manifestation): Mining user generated content. Boca Raton : Taylor & Francis, 2014
Format
Books / Online
Language
English
Added to Catalog
August 28, 2023
Series
Chapman & Hall/CRC social media and social computing series
Bibliography
Includes bibliographical references (pages 329-396).
Contents
Mining User Generated Content and Its Applications
Social Annotation
Sentiment Analysis in UGC
Mining User Generated Data for Music Information Retrieval
Graph and Network Pattern Mining
Knowledge Extraction from Wikis/BBS/Blogs/News Web Sites
User Generated Content Search
Annotating Japanese Blogs with Syntactic and Affective Information
Question-Answering of UGC
Summarization of UGC
Recommender Systems
Conclusions and a Road Map for Future Developments.
Also listed under
Bookmark As
Citation
