analysis
applications of user generated content
behavioural data analysis
Category=UNF
Collaborative Filtering
computational social science
data mining techniques
digital media analytics
Emotion Classes
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Graph Mining
IBM Model
information extraction methods
Knowledge Extraction
language
mining and searching of different types of user generated content
mining of user generated content of different medium types
MIR
MIR Research
MIR Task
Music Dataset
Music Information Retrieval
named
natural
online community analysis
P2P Networks
Pattern Mining
processing
Query Expansion
Query Logs
recommender
Relation Extraction
Semisupervised Learning
sentiment
Sentiment Analysis
Sentiment Features
Shanghai Jiaotong University
social
Social Annotations
social media content mining applications
Social Tag
Subgraph Isomorphism
system
tag
TREC
uncover social trends and user habits from user generated content
User Generated Content
user generated content from social media
User Ui
Product details
- ISBN 9781466557406
- Weight: 1040g
- Dimensions: 156 x 234mm
- Publication Date: 28 Jan 2014
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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This volume 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. The book describes how to mine various media, including social annotation, music information retrieval, and networks, and discusses the mining and searching of different types of UGC, such as Wikis and blogs. It also presents many applications of UGC, including the use of UGC to answer questions and summarize information.
Marie-Francine Moens, Juanzi Li, Tat-Seng Chua
