BriefGPT.xyz
May, 2024
COVID-19期间报纸文章情感分析的大型语言模型:卫报
Large language models for sentiment analysis of newspaper articles during COVID-19: The Guardian
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Rohitash Chandra, Baicheng Zhu, Qingying Fang, Eka Shinjikashvili
TL;DR
在COVID-19期间,对The Guardian报纸的情感分析显示出负面情绪的主导地位,包括悲伤、烦躁、焦虑和否认,与社交媒体情感分析的结果存在差异,表明社交媒体提供了更多样化的情绪反映。
Abstract
During the
covid-19
pandemic, the news
media coverage
encompassed a wide range of topics that includes viral transmission, allocation of medical resources, and government response measures. There have been studie
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