NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset
收藏arXiv2020-04-17 更新2024-06-21 收录
下载链接:
https://github.com/sociocom/covid19_dataset
下载链接
链接失效反馈官方服务:
资源简介:
NAIST COVID数据集是由奈良先端科学技术大学院大学创建,包含从Twitter和Weibo收集的关于COVID-19的多语言微博客数据。数据集覆盖了2020年1月20日至3月24日,总计超过2000万条微博客,涉及英语、日语和中文。创建过程包括使用关键词搜索和API接口进行数据收集。该数据集旨在支持对COVID-19的社交媒体研究,帮助分析和预测与疫情相关的社会现象,以及促进有效的预防措施沟通。
The NAIST COVID Dataset was developed by the Nara Institute of Science and Technology (NAIST). It consists of multilingual microblog data related to COVID-19 collected from Twitter and Weibo. Spanning the period from January 20 to March 24, 2020, the dataset comprises over 20 million microblog posts in total, covering English, Japanese and Chinese languages. Data was collected via keyword searches and API interfaces. This dataset is intended to support social media research on COVID-19, assist in analyzing and predicting pandemic-related social phenomena, and promote effective communication of preventive measures.
提供机构:
奈良先端科学技术大学院大学
创建时间:
2020-04-17



