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TriVis: Visualising Multivariate Data from Sentiment Analysis

Authors: 

Maryanne Doyle, Alan Smeaton, Adam Bermingham

Publication Type: 
Refereed Conference Meeting Proceeding
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 read- ability 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 the data set which are not obvious using other methods.
Conference Name: 
The 8th Irish Human Computer In- teraction Conference
Proceedings: 
iHCI 2014: Proceedings of the 8th Irish Human-Computer Interaction Conference
Digital Object Identifer (DOI): 
978-1-873769-27-0
Publication Date: 
01/09/2014
Conference Location: 
Ireland
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes