Mining User Generated Content 1st Mariefrancine Moens Juanzi Li Tatseng Chua Editors by Marie-francine Moens; Juanzi Li; Tat-seng Chua (editors) 9781466557413, 1466557419 instant download after payment.

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 media terms 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.

Features

• Describes how to mine various media, including social annotation, music information retrieval, and networks

• Covers the mining and searching of different types of UGC, such as Wikis and blogs

• Presents many applications of UGC, including the use of UGC to answer questions and summarize information

• Provides a roadmap for future developments