计算机与数字工程2023，Vol.51Issue(12)：2863-2866,3009,5.DOI:10.3969/j.issn.1672-9722.2023.12.018
基于多任务和自注意力机制的文本微情感分析研究
Research on Text Micro Emotion Analysis Based on Multitasking and Self Attention Mechanism
杨健豪 1曾碧卿 1邓会敏 2裴枫华 1姚博文1
作者信息
- 1. 华南师范大学软件学院 佛山 528200
- 2. 广东农工商职业技术学院计算机学院 广州 510507
- 折叠
摘要
Abstract
The research on text micro emotion analysis based on multitasking and self attention mechanism aims to mine the emotions involved in sentences(4 classification,7 classification and 28 classification),especially the micro emotions of sentences in 28 classification.Most of the existing literature still focuses on coarse-grained(4 classification)emotion research.However,there is little research on micro emotion of 7 categories,especially 28 categories.In order to solve the above problems and make up for the gap in the domestic research on micro emotion(28 classification),this paper proposes a micro emotion analysis model based on multi task and self attention mechanism,that is,through the simultaneous processing of three emotion analysis tasks of 4 classifi-cation,7 classification and 28 classification,one of them is the main task(with a weight of 0.9).The other two tasks are used as auxiliary tasks(with a weight of 0.05 respectively)and share the network weight of the three tasks to achieve the goal of improving the main task model.Experiments show that the network sharing of coding layer for multiple tasks with different granularity can im-prove the text feature extraction ability of the model for sentences,so as to improve the emotion recognition accuracy of the model for sentences,especially in fine-grained(micro)emotion classification tasks.关键词
多任务/微情感/自然语言处理/BERTKey words
multitasking/micro emotion/natural language processing/BERT分类
信息技术与安全科学引用本文复制引用
杨健豪,曾碧卿,邓会敏,裴枫华,姚博文..基于多任务和自注意力机制的文本微情感分析研究[J].计算机与数字工程,2023,51(12):2863-2866,3009,5.
