Name
Title | ||
|---|---|---|
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework |
Abstract | ||
|---|---|---|
We propose a multi-task ensemble framework that jointly learns multiple related problems. The ensemble model aims to leverage the learned representations of three deep learning models (i.e., CNN, LSTM and GRU) and a hand-crafted feature representation for the predictions. Through multi-task framework, we address four problems of emotion and sentiment analysis, i.e., “emotion classification... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TAFFC.2019.2926724 | IEEE Transactions on Affective Computing |
Keywords | DocType | Volume |
Task analysis,Hidden Markov models,Sentiment analysis,Deep learning,Computational modeling,Predictive models,Organizations | Journal | 13 |
Issue | ISSN | Citations |
1 | 1949-3045 | 2 |
PageRank | References | Authors |
0.38 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| md shad akhtar | 1 | 50 | 11.75 |
| Deepanway Ghosal | 2 | 3 | 2.47 |
| Asif Ekbal | 3 | 737 | 119.31 |
| Pushpak Bhattacharyya | 4 | 795 | 186.21 |
| Sadao Kurohashi | 5 | 1083 | 177.05 |