基于子事件的对话长文本情感分析

杨京虎, 段亮, 岳昆, 李忠斌

Sentimenta analysis based on subevents for long dialogue texts

Jinghu Yang, Liang Duan, Kun Yue, Zhongbin Li

表6 TER和九个基线模型在mc3数据集上的子事件情感分析任务的性能对比

Table 6 Experimental results of TER and nine base?line models with subevents sentiment analysis on the mc3 dataset

模型 精确率 召回率 F1 TER 89.15% 89.05% 89.21% TextCNN 86.08% 86.23% 86.09% TextRNN 81.35% 79.95% 80.20% FastText 84.23% 83.90% 83.95% DPCNN 86.39% 86.33% 86.30% TextRCNN 87.53% 87.17% 87.24% Transformer 81.51% 81.33% 81.39% TodKat 82.96% 80.68% 81.80% BERT 87.31% 87.26% 87.29% ERNIE 87.39% 87.36% 87.37%