Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds

Choudhury, Sharmin (Tinni), Brierley, Claire, Rooney, Chris, Xu, Kai ORCID logoORCID: https://orcid.org/0000-0003-2242-5440, Chen, Raymond, Wong, B. L. William ORCID logoORCID: https://orcid.org/0000-0002-3363-0741 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. . [Conference or Workshop Item]

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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.

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
Item ID: 8164
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Depositing User: Dr Sharmin Choudhury
Date Deposited: 10 Oct 2011 07:38
Last Modified: 30 Nov 2022 00:48
URI: https://eprints.mdx.ac.uk/id/eprint/8164

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