Name
Title | ||
|---|---|---|
Deep rolling: A novel emotion prediction model for a multi-participant communication context. |
Abstract | ||
|---|---|---|
•Propose a novel emotion prediction model, Deep Rolling, for target participant in a multi-participant communication context. The proposed model can capture the emotional stimulation caused by other participants in the current communication context.•Introduce data factorization into the proposed model, Deep Rolling, to enhance the prediction efficiency.•By adopting movie subtitle as dataset, Deep Rolling is utilized to find roles who have the most important emotional impact on the prediction target. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ins.2019.03.023 | Information Sciences |
Keywords | Field | DocType |
Emotion recognition,Time series forecasting,Natural language processing,Deep learning | Time point,Factorization,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
488 | 0020-0255 | 2 |
PageRank | References | Authors |
0.36 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huan Rong | 1 | 20 | 1.02 |
| Tinghuai Ma | 2 | 107 | 11.50 |
| Jie Cao | 3 | 627 | 73.36 |
| Yuan Tian | 4 | 270 | 21.90 |
| Abdullah Al-Dhelaan | 5 | 523 | 39.77 |
| Mznah Al-Rodhaan | 6 | 306 | 22.90 |