Mining user generated content

Description

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.;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. 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.