Name
Abstract | ||
|---|---|---|
This paper tackles the audio visual renderings of geolocated datasets harvested from social networks. These datasets are noisy, multimodal 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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IWCIM.2015.7347082 | 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) |
Keywords | Field | DocType |
Social Media Analytics,Visualisation | World Wide Web,Social media analytics,Social network,Information visualization,Computer science,Visualization,Visual analytics,Timestamp,Global Positioning System,Rendering (computer graphics) | Conference |
Citations | PageRank | References |
2 | 0.46 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rozenn Dahyot | 1 | 340 | 32.62 |
| conor brady | 2 | 2 | 0.46 |
| cyril bourges | 3 | 2 | 0.46 |
| abdullah bulbul | 4 | 2 | 0.46 |