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| Dialog Sentiment Analysis with Multi-party Attention |
| CHEN Chen, ZHOU Xiabing, WANG Zhongqing, ZHANG Min |
| School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu 215006, China |
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Abstract Dialog sentiment analysis aims to classify the sentiment of each sentence in a dialogue, considering both the speaker’s personal emotion and the emotion transmission between speakers. To model this with Transformer, this paper proposes a multi-party attention mechanism to better model the interaction between different speakers and simulate dialogue scenes. Experiments show that, compared with other SOTA models, Dialogue Transformer has simpler implementation, faster running speed, and an significantly increased Weighted-F1 value.
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Received: 08 February 2021
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2022, Vol. 36 
