European Solidarity Twitter Dataset
收藏arXiv2021-08-03 更新2024-06-21 收录
下载链接：
https://github.com/lalashiwoya/socialsolidarityCOVID19
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资源简介：
本数据集名为“欧洲团结Twitter数据集”，由歌德大学法兰克福分校社会科学系创建，包含271,930条英德双语推文，主要关注欧洲团结与反团结的表达。数据集通过专家和众包两种方式标注，用于训练BERT模型，以分析COVID-19前后欧洲团结话语的变化。该数据集的应用领域包括社会科学和自然语言处理，旨在探讨和解决欧洲社会中的团结与反团结问题。
This dataset, titled "European Solidarity Twitter Dataset", was developed by the Department of Social Sciences at Goethe University Frankfurt. It comprises 271,930 English-German bilingual tweets, primarily focusing on expressions of European solidarity and anti-solidarity. The dataset is annotated through both expert review and crowdsourcing methods, and is designed for training BERT models to analyze shifts in European solidarity discourse before and following the COVID-19 pandemic. Its application domains include social sciences and natural language processing, with the core objective of investigating and addressing issues related to solidarity and anti-solidarity within European societies.
提供机构：
歌德大学法兰克福分校社会科学系
创建时间：
2021-08-03
