Paper Info
Title
Building a social media digital library: collection, management, and analytics
Abstract
In this talk I will present the University of Arizona Artificial Intelligence Lab's recent research in Dark Web, Geopolitical Web, and Business Analytics. Based on funding from the NSF and several other US agencies, the AI Lab has developed techniques for collecting, managing and analyzing largescale multilingual and multimedia social media contents of relevance to social, geopolitical, and business applications. Our projects aim to study and understand critical social and business phenomena in the cyber world and real world via a computational, data-centric approach. We aim to collect critical social media content generated by various political and business groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual worlds, etc. A social media digital library and portal system has been developed to manage and access these critical multilingual and multimedia contents. We have also developed advanced multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. Selected case studies in geopolitical domains and business intelligence applications will be discussed.
Year
DOI
Venue
2011
10.1007/978-3-642-24826-9_2
ICADL
Keywords
Field
DocType
critical social media content,digital library,social networking site,link analysis,business application,social media,video analysis,multimedia social media content,content analysis,authorship analysis,sentiment analysis
Data science,World Wide Web,Social network,Social media,Web mining,Business analytics,Sentiment analysis,Computer science,Digital library,Business intelligence,Analytics
Conference
Volume
ISSN
Citations 
7008
0302-9743
1
PageRank 
References 
Authors
0.35
1
1
Name
Order
Citations
PageRank
Hsinchun Chen19569813.33