官方服务：
资源简介：
Sentiment of tweets by communities.
应用场景：
创建时间：
2015-12-02
相关数据集
Multimodal Network Public Opinion Data of the "9 · 5 Sichuan Luding Earthquake"
This dataset is a multimodal public opinion data of 9.5 Sichuan Luding topic netizens collected and annotated with emotional types on Weibo social media platform.[Collecting] Retrieved search results
DataCite Commons2025-04-27 更新100
Covid-19 dataset
This dataset contains curated text of tweet related to the covid-19 from 1st December to 9th January 2019. The dataset contains the original text and the sentiment label of the text.
Figshare2023-11-30 更新80
The average number of daily tweets (average #), together with the mean and standard deviation (s.d.) of tweetwise sentiment scores calculated from the RoBERTa method for different cities in different time periods.
The average number of daily tweets (average #), together with the mean and standard deviation (s.d.) of tweetwise sentiment scores calculated from the RoBERTa method for different cities in different
Figshare2023-02-24 更新30
Coronavirus (COVID-19) Global Sentiment Trend
This dataset gives a cursory glimpse at the overall sentiment trend of the public discourse regarding the COVID-19 pandemic on Twitter. The live scatter plot of this dataset is available as The Overal
Mendeley Data2024-01-31 更新40
