Dahyot, Rozenn and Brady, Conor and 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:	https://doi.org/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
URI:	Publisher
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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