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TriVis: visualising multivariate data from sentiment analysis

Doyle, Maryanne, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 and Bermingham, Adam (2014) TriVis: visualising multivariate data from sentiment analysis. In: 8th Annual Irish Human Computer Interaction (iHCI) conference, 1-2 Sept 2014, DCU, Dublin, Ireland.

Abstract
In a time when a single sporting event can elicit millions of Tweets the volume of expressions of sentiment available is far too large to be read by an individual in real time. TriVis is a visualisation design that uses a modified scatter plot with three axes to allow the user to read and understand multidimensional data at a glance. We examined the readability of the visualisation using data collected from a golf tournament and plotted the sentiment towards golfers in real time during play. TriVis visualisations are simple, easy to understand and offer insights into obvious using other methods.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Sentiment analysis; Social media analysis; Sports
Subjects:Computer Science > Interactive computer systems
Computer Science > Computational linguistics
Computer Science > Visualization
Computer Science > World Wide Web
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20145
Deposited On:19 Sep 2014 12:58 by Adam Bermingham . Last Modified 31 Oct 2018 11:54
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