• DocumentCode
    3644815
  • 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
  • fYear
    2011
  • Firstpage
    305
  • Lastpage
    306
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on
  • Print_ISBN
    978-1-4673-0015-5
  • Type

    conf

  • DOI
    10.1109/VAST.2011.6102485
  • Filename
    6102485
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3644815