Doyle, Maryanne, Smeaton, Alan F.
ORCID: 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 Institutes 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 |
Documents
Full text available as:
Preview |
PDF (Paper)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
424kB |
Preview |
PDF (Poster)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
3MB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record