City sentinel - VAST 2011 mini challenge 1 award: "Outstanding integration of computational and visual methods"

N. Bánfi, L. Dudás, Zs Fekete, J. Göbölös-Szabó, A. Lukács, Á Nagy, A. Szabó, Z. Szabó, G. Szucs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
Pages305-306
Number of pages2
DOIs
Publication statusPublished - Dec 1 2011
Event2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011 - Providence, RI, United States
Duration: Oct 23 2011Oct 28 2011

Publication series

NameVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings

Other

Other2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011
CountryUnited States
CityProvidence, RI
Period10/23/1110/28/11

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Keywords

  • H.1.2 [Models and Principles]: User/Machine Systems - Human information processing
  • H.5.2 [Information Systems]: Information Interfaces and Presentation - User Interfaces

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Bánfi, N., Dudás, L., Fekete, Z., Göbölös-Szabó, J., Lukács, A., Nagy, Á., Szabó, A., Szabó, Z., & Szucs, G. (2011). City sentinel - VAST 2011 mini challenge 1 award: "Outstanding integration of computational and visual methods". In VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings (pp. 305-306). [6102485] (VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings). https://doi.org/10.1109/VAST.2011.6102485