Joint Emotion Analysis via Multi-task Gaussian Processes
Daniel Beck, Trevor Cohn, Lucia Specia · 2014
We propose a model for jointly predicting multiple emotions in natural language sentences.Our model is based on a low-rank coregionalisation approach, which combines 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 singletask baselines and other multi-task approaches.