Middlesex University ’s Invisque visual analytics tool : supported by text analytics techniques from the University of Leeds
Choudhury, ST, Brierley, C, Xu, K et al. (3 more authors)
(2011)
Middlesex University ’s Invisque visual analytics tool : supported by text analytics techniques from the University of Leeds.
In:
IEEE VAST Challenge 2011.
IEEE VAST 2011 Conference: part of VisWeek 2011, 23-28 Oct 2011, Providence, Rhode Island, USA.
(Unpublished)
Abstract
This report describes the joint entry from Middlesex University and the University of Leeds for Mini Challenge 3 for the VAST Challenge 2011. In order to address the challenge question, the primary tool we used was Middlesex University’s Interactive Visual Search and Query Environment (INVISQUE), which served as the user interface to the Mini-Challenge 3 news corpus. INVISQUE was supported by corpus text analytics from the University of Leeds, which provided additional information that was visualised on the INVISQUE user interface.
Metadata
Item Type:
Proceedings Paper
Authors/Creators:
Choudhury, ST
Brierley, C
Xu, K
Chen, R
Wong, W
Atwell, E
Keywords:
Visual analytics; information visualisation; text analysis; human factors
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)