Mining User Generated Content: 1st Edition (Hardback) book cover

Mining User Generated Content

1st Edition

Edited by Marie-Francine Moens, Juanzi Li, Tat-Seng Chua

Chapman and Hall/CRC

474 pages | 47 B/W Illus.

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pub: 2014-01-28
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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 research and address future directions of UGC. It explains how to collect, index, and analyze UGC to uncover social trends and user habits.

Divided into four parts, the book focuses on the mining and applications of UGC. The first part presents an introduction to this new and exciting topic. Covering the mining of UGC of different medium types, the second part discusses the social annotation of UGC, social network graph construction and community mining, mining of UGC to assist in music retrieval, and the popular but difficult topic of UGC sentiment analysis. The third part describes the mining and searching of various types of UGC, including knowledge extraction, search techniques for UGC content, and a specific study on the analysis and annotation of Japanese blogs. The fourth part on applications explores the use of UGC to support question-answering, information summarization, and recommendations.


"This book is timely in collating the experiences and progress in the user-generated content (UGC) area. … this book is contemporary and provides insights into the UGC work in a comprehensible way. It will be well appreciated by researchers, academicians, and practitioners."

Computing Reviews, June 2015

Table of Contents


Mining of User Generated Content and Its Applications Marie-Francine Moens, Juanzi Li, and Tat-Seng Chua

The Web and Web Trends

Defining User Generated Content

A Brief History of Creating, Searching and Mining User Generated Content

Goals of the Book

User Generated Content: Concepts and Bottlenecks

Organization of the Book

Mining User Generated Content: Broader Context

Mining Different Media

Social Annotation Jia Chen, Shenghua Bao, Haofen Wang, and Yong Yu

Research on Social Annotations

Techniques in Social Annotations

Application of Social Annotations

Sentiment Analysis in UGC Ning Yu



Major Issues in Sentiment Analysis

Mining User Generated Data for Music Information Retrieval Markus Schedl, Mohamed Sordo, Noam Koenigstein, and Udi Weinsberg

Introduction to Music Information Retrieval

Web Pages


Explicit User Ratings

Peer-to-Peer Networks

Social Tags

Social Networks


Graph and Network Pattern Mining Jan Ramon, Constantin Comendant, Mostafa Haghir Chehreghani, and Yuyi Wang


Basic Concepts

Transactional Graph Pattern Mining

Single Network Mining

Concluding Remarks

Additional Reading


Mining and Searching Different Types of UGC

Knowledge Extraction from Wiki/BBS/Blogs/News Websites Jun Zhao, Kang Liu, Guangyou Zhou, Xianpei Han, Zhenyu Qi, and Yang Liu


Entity Recognition and Expansion

Relation Extraction

Named Entity Disambiguation


User Generated Content Search Roi Blanco, Manuel Eduardo Ares Brea, and Christina Lioma


Overview of State of the Art

Social Tags for Query Expansion


Annotating Japanese Blogs with Syntactic and Affective Information Michal Ptaszynski, Yoshio Momouchi, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, and Kenji Araki


Related Research

YACIS Corpus Compilation

YACIS Corpus Annotation



Conclusions and Future Work


Question Answering of UGC Chin-Yew Lin


Question Answering by Searching Questions?

Question Search

Question Quality, Answer Quality, and User Expertise


Summarization of UGC Dominic Rout and Kalina Bontcheva


Automatic Text Summarization: A Brief Overview

Why Is User Generated Content a Challenge?

Text Summarization of UGC

Structured, Sentiment-Based Summarization of UGC

Keyword-based Summarization of UGC

Visual Summarization of UGC

Evaluating UGC Summaries

Outstanding Challenges


Recommender Systems Claudio Lucchese, Cristina Ioana Muntean, Raffaele Perego, and Fabrizio Silvestri

Recommendation Techniques

Exploiting Query Logs for Recommending Related Queries

Exploiting Photo Sharing and Wikipedia for Touristic Recommendations

Exploiting Twitter and Wikipedia for News Recommendation

Recommender Systems for Tags


Conclusions and a Roadmap for Future Developments Marie-Francine Moens, Juanzi Li, and Tat-Seng Chua

Summary of the Main Findings



About the Series

Social Media and Social Computing

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Programming / Games
COMPUTERS / Database Management / General
COMPUTERS / Database Management / Data Mining
COMPUTERS / Social Aspects / Human-Computer Interaction