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

Conference paper

Choudhury, S., Brierley, C., Rooney, C., Xu, K., Chen, R., Wong, B. and Atwell, E. 2011. Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds. IEEE VAST Challenge 2011. Providence, Rhode Island, USA 23 - 28 Oct 2011
TypeConference paper
TitleMiddlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds
AuthorsChoudhury, S., Brierley, C., Rooney, C., Xu, K., Chen, R., Wong, B. and Atwell, E.
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.

Keywordsvisual analytics, information visualisation, text analysis, human factors
ConferenceIEEE VAST Challenge 2011
Publication process dates
Deposited10 Oct 2011
CompletedAug 2011
Output statusPublished
First submitted version
License
LanguageEnglish
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MiddlesexLeedsMC3.pdf
License: CC BY-ND 4.0

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