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,

part 1|2 pages

Part I: Introduction

part 2|2 pages

Part II: Mining Different Media

chapter 2|22 pages

Social Annotation

ByJia Chen, Shenghua Bao, Haofen Wang, Yong Yu, Zhong Su

chapter 3|24 pages

Sentiment Analysis in UGC

chapter 4|30 pages

Mining User Generated Data for Music Information Retrieval

ByMarkus Schedl, Mohamed Sordo, Noam Koenigstein, Udi Weinsberg

chapter 5|30 pages

Graph and Network Pattern Mining

part 3|2 pages

Part III: Mining and Searching Different Types of UGC

chapter 6|38 pages

Knowledge Extraction from Wikis/BBS/Blogs/News Web Sites

BySites Jun Zhao, Kang Liu, Guangyou Zhou, Zhenyu Qi, Yang Liu, Xianpei Han

chapter 7|22 pages

User Generated Content Search

ByRoi Blanco, Manuel Eduardo Ares Brea, Christina Lioma

chapter 8|34 pages

Annotating Japanese Blogs with Syntactic and Affective Information

ByMichal Ptaszynski, Yoshio Momouchi, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki

part 4|2 pages

Part IV: Applications

chapter 9|34 pages

Question-Answering of UGC

chapter 10|28 pages

Summarization of UGC

ByDominic Rout, Kalina Bontcheva

chapter 11|32 pages

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