Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds
Choudhury, Sharmin (Tinni) and Brierley, Claire and Rooney, Chris and Xu, Kai and Chen, Raymond and Wong, B. L. William and Atwell, Eric (2011) Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds. In: IEEE VAST Challenge 2011, 23-28 Oct 2011, Providence, Rhode Island, USA.
- First submitted uncorrected version (with author's formatting)
Available under License Creative Commons Attribution-NoDerivatives.
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.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords (uncontrolled):||visual analytics, information visualisation, text analysis, human factors|
|Research Areas:||A. > School of Science and Technology > Computer Science|
|Depositing User:||Dr Sharmin Choudhury|
|Date Deposited:||10 Oct 2011 07:38|
|Last Modified:||25 Sep 2015 13:06|
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