对巴基斯坦COVID-19的推文进行全面的情感分析:关于政府预防措施的研究
Muhammad Faisal Ali1, Rabia Irfan1, Tahira Anwar Lashari1
1Department of Computing, School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan.
PeerJ. Computer science
|June 22, 2023
概括
这项研究使用推特数据分析了巴基斯坦关于COVID-19对策的公众情绪. 中立情绪占主导地位,其次是积极的情绪,得分每月变化.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 公共卫生 公共卫生
背景情况:
- 在全球范围内,COVID-19大流行需要前所未有的公共卫生干预措施.
- 了解公众对抗疫情措施的情绪对于政策有效性至关重要.
- 巴基斯坦实施了各种反制措施,包括封锁,标准操作程序和疫苗接种行动,影响了公共生活.
研究的目的:
- 分析关于巴基斯坦COVID-19对策 (2020-2021) 的Twitter公众情绪.
- 评估不同情绪分析技术在理解公众态度方面的有效性.
- 为了将情绪趋势与实时的国家事件相关联.
主要方法:
- 利用2020-2021年的Twitter数据进行情绪分析.
- 采用了四种情感分析方法:瓦伦斯意识到词典和情感推理器 (VADER),TextBlob,Flair和来自变压器的双向编码器表示 (BERT).
- 微调的BERT模型实现了92%的验证准确度;VADER和TextBlob是基于词典的,Flair是基于嵌入的.
主要成果:
- 在所有分析的对策中,情绪极性得分每月波动.
- 根据TextBlob和BERT的数据,中性情绪是数据集中最普遍的,其次是积极的情绪.
- 分析显示,公众情绪的变化与国家事件相关.
结论:
- 情绪分析为公众对大流行病反应的看法提供了宝贵的见解.
- 中立和积极的情绪占主导地位,表明对大多数措施的普遍接受或冷漠.
- 这些发现可以为公共沟通策略和卫生危机期间的政策调整提供信息.
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