Title :
City sentinel - VAST 2011 mini challenge 1 award: “Outstanding integration of computational and visual methods”
Author :
N. Bánfi;L. Dudás;Zs. Fekete;J. Göbö lös-Szabó;A. Lukács;Á. Nagy;A. Szabó;Z. Szabó;G. Szűcs
Author_Institution :
Computer and Automation Research Institute (MTA SZTAKI), Hungarian Academy of Sciences, Hungary
Abstract :
We present City Sentinel, an in-house built visual analytic software capable of handling a large collection of textual documents by combining diverse text mining and visualization tools. We applied this tool for the Vast Challenge 2011, Mini Challenge 1 over millions of tweet messages. We demonstrate how City Sentinel aided the analyst in retrieving the hidden information from the tweet messages to analyze and locate a hypothetical epidemic outbreak.
Keywords :
"Cities and towns","Accidents","Tag clouds","Blood","Image color analysis","Data mining","Motion pictures"
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on
Print_ISBN :
978-1-4673-0015-5
DOI :
10.1109/VAST.2011.6102485
