Paper: Joint Emotion Analysis via Multi-task Gaussian Processes

ACL ID D14-1190
Title Joint Emotion Analysis via Multi-task Gaussian Processes
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

We propose a model for jointly predicting multiple emotions in natural language sen- tences. Our model is based on a low-rank coregionalisation approach, which com- bines a vector-valued Gaussian Process with a rich parameterisation scheme. We show that our approach is able to learn correlations and anti-correlations between emotions on a news headlines dataset. The proposed model outperforms both single- task baselines and other multi-task ap- proaches.