Shen Shoucheng, Fan Jinling
School of Marxism, Dalian Maritime University, Dalian, China.
Office of Academic Affairs, Hebei University of Science and Technology, Shijiazhuang, China.
Front Psychol. 2022 Jul 26;13:908154. doi: 10.3389/fpsyg.2022.908154. eCollection 2022.
Theoretical research into the emotional attributes of ideological and political education can improve our ability to understand human emotion and solve socio-emotional problems. To that end, this study undertook an analysis of emotion in ideological and political education by integrating a gate recurrent unit (GRU) with an attention mechanism. Based on the good results achieved by BERT in the downstream network, we use the long focusing attention mechanism assisted by two-way GRU to extract relevant information and global information of ideological and political education and emotion analysis, respectively. The two kinds of information complement each other, and the accuracy of emotion information can be further improved by combining neural network model. Finally, the validity and domain adaptability of the model were verified using several publicly available, fine-grained emotion datasets.
对思想政治教育情感属性进行理论研究，可以提高我们理解人类情感和解决社会情感问题的能力。为此，本研究通过将门控循环单元（GRU）与注意力机制相结合，对思想政治教育中的情感进行了分析。基于BERT在下游网络中取得的良好成果，我们使用双向GRU辅助的长聚焦注意力机制，分别提取思想政治教育和情感分析的相关信息和全局信息。这两种信息相互补充，结合神经网络模型可以进一步提高情感信息的准确性。最后，使用几个公开可用的细粒度情感数据集验证了该模型的有效性和领域适应性。
