论文标题

第一个法语covid19锁定Twitter数据集

The First French COVID19 Lockdown Twitter Dataset

论文作者

Balech, Sophie, Benavent, Christophe, Calciu, Mihai

论文摘要

在本文中,我们介绍了一个主要是法国冠状病毒Twitter数据集,自从法国制定了锁定限制以来(2020年3月17日)。我们通过https://github.com/calciu/covid19-lockdownfr向研究社区提供数据集和情感分析注释。它们是使用大学数据中心的高性能计算(HPC)功能获得的。我们认为,我们的贡献可以促进分析在线对话动态,反映出人们面对严重的家庭禁闭限制,这是由这种全球流行病爆发确定的。 我们希望我们的贡献将有助于解码共享的经验和情绪,同时测试情感测量工具的敏感性,并促进新工具,方法和方法的开发。

In this paper, we present a mainly French coronavirus Twitter dataset that we have been continuously collecting since lockdown restrictions have been enacted in France (in March 17, 2020). We offer our datasets and sentiment analysis annotations to the research community at https://github.com/calciu/COVID19-LockdownFr. They have been obtained using high performance computing (HPC) capabilities of our university's datacenter. We think that our contribution can facilitate analysis of online conversation dynamics reflecting people sentiments when facing severe home confinement restrictions determined by the outbreak of this world wide epidemic. We hope that our contribution will help decode shared experience and mood but also test the sensitivity of sentiment measurement instruments and incite the development of new instruments, methods and approaches.

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