Social User Mining
Loading...
Authors
Eltaher, Mohammed Ali
Lee, Jeongkyu
Issue Date
2014-03-28
Type
Presentation
Language
en_US
Keywords
Engineering , Faculty research day , Social media , Data mining
Alternative Title
Abstract
In recent years, the pervasive use of social media has generated huge amounts of data that starts to gain a lot of attentions. Each social media source utilizes different data types such as textual and visual. For example, Twitter is for a short text message, Flickr is for images and videos, and Facebook allows all of these data types. With the use of data mining techniques, the social media data opens a lot of opportunities for researchers. To address these challenges and to discover unknown information about users, we first introducing data assemble module to handle both textual and visual information from different media sources. After that, we Introducing data integration module to integrate textual and visual data. In addition, we proposed two different applications for social user mining.