COVID-19 Epidemic Weibo Emotional Dataset, the content of Weibo in this dataset is the epidemic Weibo obtained by using relevant keywords to filter during the epidemic, and its content is related to COVID-19.

Each tweet is labeled as one of the following six categories: neutral (no emotion), happy (positive), angry (angry), sad (sad), fear (fear), surprise (surprise)

The COVID-19 Weibo training dataset includes 8,606 Weibos, the validation set contains 2,000 Weibos, and the test dataset contains 3,000 Weibos.


疫情微博数据集，该数据集内的微博内容是在疫情期间使用相关关键字筛选获得的疫情微博，其内容与新冠疫情相关。

每条微博被标注为以下六个类别之一：neutral（无情绪）、happy（积极）、angry（愤怒）、sad（悲伤）、fear（恐惧）、surprise（惊奇）

疫情微博训练数据集包括8,606条微博，验证集包含2,000条微博，测试数据集包含3,000条微博。
region:us
{}
TAGS
#region-us 

COVID-19 Epidemic Weibo Emotional Dataset, the content of Weibo in this dataset is the epidemic Weibo obtained by using relevant keywords to filter during the epidemic, and its content is related to COVID-19.

Each tweet is labeled as one of the following six categories: neutral (no emotion), happy (positive), angry (angry), sad (sad), fear (fear), surprise (surprise)

The COVID-19 Weibo training dataset includes 8,606 Weibos, the validation set contains 2,000 Weibos, and the test dataset contains 3,000 Weibos.


疫情微博数据集，该数据集内的微博内容是在疫情期间使用相关关键字筛选获得的疫情微博，其内容与新冠疫情相关。

每条微博被标注为以下六个类别之一：neutral（无情绪）、happy（积极）、angry（愤怒）、sad（悲伤）、fear（恐惧）、surprise（惊奇）

疫情微博训练数据集包括8,606条微博，验证集包含2,000条微博，测试数据集包含3,000条微博。
TAGS
#region-us 

passage: TAGS
#region-us 
