基于BiGRU-Attention模型的新冠疫苗接种情感倾向性分析  

Emotional orientation analysis of COVID-19 vaccination based on BiGRU-Attention model

作　　者：陈旭 潘峰[1,2] 韩益亮[1,2] 王宁[3] Chen Xu;Pan Feng;Han Yiliang;Wang Ning(College of Cryptographic Engineering,Engineering University of PAP,Xi′an 710086,China;Key Laboratory of PAP for Cryptology and Information Security,Xi′an 710086,China;Zhangjiakou Detachment of Hebei Armed Police Corps,Zhangjiakou 075000,China)

机构地区：[1]武警工程大学密码工程学院,陕西西安710086 [2]武警部队密码与信息安全保密重点实验室,陕西西安710086 [3]武警河北总队张家口支队,河北张家口075000

出　　处：《信息技术与网络安全》2021年第10期22-28,共7页Information Technology and Network Security

基　　金：国家社会科学基金(20XTQ007,2020-SKJJ-B-019);全军军事类研究生资助课题(JY2019C241);陕西省自然科学基础研究计划(2021-JM252);武警工程大学科研创新团队科学基金(KYTD201805)。

摘　　要：新冠疫苗接种在全国如火如荼开展。通过网络评论分析群众对于接种新冠疫苗的情感倾向性,对于推进新冠疫苗接种工作具有重要意义。对传统的神经网络模型进行改进,将双向GRU与Attention并行作用于文本向量,分析新冠疫苗接种的情感倾向性。实验证明,相比于传统模型,该模型效率有一定的提高,实验方法对于新冠疫苗接种意向分析具有一定价值。The COVID-19 vaccination is in full swing in the country.It is of great significance to analyze the people′s emotional tendency for the COVID-19 vaccination through online comments.In this paper,the traditional neural network model is improved,and the bidirectional GRU and Attention model are acted on the text vector in parallel to analyze the emotional tendency of COVID-19 vaccination.Experimental results show that the efficiency of the model is improved compared with the traditional model,and the experimental method is of certain value for the analysis of the COVID-19 vaccination.

关 键 词：新冠疫苗 网络评论 神经网络 接种意向 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]