基于预训练模型的COVID-19语音情绪倾向预测

Jian Huang
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引用次数: 1

摘要

2020年,世界卫生组织确认新型冠状病毒(COVID-19)为大流行传染病。这种病毒影响了数千万人的生命。许多国家都采取了强制措施,要求居民在家工作和生活,避免与外界不必要的接触。在此期间,人们通过各种网络平台表达了对疫情的感受。在本文中,我们对微博进行了有效的情感分析。这些微博数据是从2020年1月1日到2020年2月20日,都与COVID-19有关。疫情言论情绪分析是分析疫情期间人们对疫情的看法。研究结果表明,尽管疫情正在逐渐恶化,但大多数人并不持消极态度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Emotional Tendency of COVID-19 Speech Based on Pre-training Model
In 2020, the World Health Organization confirmed the new coronavirus (COVID-19) as a pandemic infectious disease. This virus affects the lives of tens of millions of people. Many countries have adopted compulsory measures to require residents to work and live at home and avoid unnecessary contact with the outside world. During this period, people expressed their feelings about the epidemic through various online platforms. In this article, we conducted an effective sentiment analysis on Weibo. These Weibo data are from January 1, 2020 to February 20, 2020, all related to COVID-19. The sentiment analysis of epidemic speech is to analyze people's views on COVID-19 during the epidemic. The results of the study concluded that although the epidemic is gradually getting worse, most people don't take a negative attitude.
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