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Dahyot, Rozenn, Brady, Conor, Bourges, Cyril and Bulbul, Abdullah (2015) Information visualisation for social media analytics. 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).
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Abstract
This paper tackles the audio visual renderings of geolocated
datasets harvested from social networks. These datasets are
noisy, multi modal and heterogeneous by nature, providing
different fields of information. We focus here on the information of location (GPS), time (timestamp) and text from tweets
from which sentiment is extracted. We provide two ways for
visualising datasets and for which demos can be seen online.
| Item Type: | Article |
|---|---|
| Keywords: | Social Media Analytics; Visualisation; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 15259 |
| Identification Number: | 10.1109/IWCIM.2015.7347082 |
| Depositing User: | Rozenn Dahyot |
| Date Deposited: | 18 Jan 2022 11:55 |
| Journal or Publication Title: | 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/15259 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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