Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network

Jianfei Yu, Luis Marujo, Jing Jiang, Pradeep Karuturi, William Brendel
Event EMNLP 2018
Research Areas Deep Learning, Natural Language Processing

Abstract: In this paper, we target at improving the performance of multi-label emotion classification with the help of sentiment classification. Specifically, we propose a new transfer learning architecture to divide the sentence representation into two different feature spaces, which are expected to respectively capture the general sentiment words and the other important emotion-specific words via a dual attention mechanism. Extensive experimental results demonstrate that our transfer learning approach can outperform several strong baselines and achieve the state-of-the-art performance on two benchmark datasets.