Name
Title | ||
|---|---|---|
Using Valence Emotion to Predict Group Cohesion’s Dynamics: Top-down and Bottom-up Approaches |
Abstract | ||
|---|---|---|
Cohesion is an affective group phenomenon. It has received a lot of attention from scholars both in Social Sciences and in Affective Computing that showed that cohesion and emotion influence each other, highlighting the need to jointly analyze them. This study presents 2 deep neural network architectures grounded on multitask learning to jointly predict cohesion and emotion. Inspired by 2 major So... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ACII52823.2021.9597429 | 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) |
Keywords | DocType | ISBN |
Deep learning,Affective computing,Analytical models,Statistical analysis,Social sciences,Computer architecture,Predictive models | Conference | 978-1-6654-0019-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucien Maman | 1 | 0 | 0.34 |
| Mohamed Chetouani | 2 | 590 | 59.47 |
| Laurence Likforman-Sulem | 3 | 0 | 0.34 |
| Giovanna Varni | 4 | 170 | 26.42 |