用于COVID-19社会科学研究的机构与新闻媒体推文数据集
收集69个机构和新闻媒体关于COVID-19的推文,用于社会科学研究,每周更新。
基本信息
资源简介
该数据集由巴塞罗那自治大学社会心理学系创建,收集了69个机构和新闻媒体的Twitter推文数据,涵盖政府、国际组织及北美、欧洲和亚洲的新闻媒体。数据自2020年3月12日起通过Twitter REST API每周更新,旨在为危机沟通、公共关系等社会科学研究提供支持。模态为文本(推文),任务为社会科学研究。
https://github.com/narcisoyu/Institional-and-news-media-tweet-dataset-for-COVID-19-social-science-research
arXiv 论文 →下载信息
注册下载
Tips: 该数据集需要在对应的数据源网站注册通过后,才能进行数据下载,注册有对应要求,或者需要收费。
暂未开放公开下载
Tips: 该数据集属于公开下载,应该可以免费公开下载。
免登录有偿下载
Tips: 该数据集 Qianfanghub 可以协助提供有偿下载服务,注意,服务不针对数据相关产权,只是技术服务费。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放千方医数集,医疗数据集部分,是为社区服务的公开医疗数据集搜索引擎,并不存储或者下载原始的任何数据。 如果您有其他医疗数据需求,可以和客服联系,或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。
使用方式
数据集获取
git clone https://github.com/narcisoyu/Institional-and-news-media-tweet-dataset-for-COVID-19-social-science-research.git
curl -L -o repo.zip https://github.com/narcisoyu/Institional-and-news-media-tweet-dataset-for-COVID-19-social-science-research/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录(使用方式)
Institutional-and-news-media-tweet-dataset-for-COVID-19-social-science-research
Open access data repository for institutional/news media tweet dataset in the time of COVID-19 pandemic
Detail information pre-print avaliable at: https://arxiv.org/abs/2004.01791
#IMPORTANT INFORMATION
As Twitter has provided a new academic API, which gives access to full historical data, this dataset will be no longer updated since Feb 20, 2021.
Thank you very much for all your interests in this small project.
#UPDATE EVERY THURSDAY
News media and government/international organization tweets across different countries (eg. US, UK, China, Spain, France, Germany etc)
Feel free to share this repo.
Data collected using twitter REST API.
First data collection at March 12, 2020 (updated on my PC every week).
This means the first time I collect the most recent 3200 tweets (official limits) of all the target accounts, then update weekly.
##V1.46
Last update: from Feb 11 to Feb 17
##V1.45
update data from Feb 04 to Feb 10
##V1.44
update data from Jan 28 to Feb 03
@GuiseppeConteIT(has resigned) and@socialstyrelsentweeted 0 message.- I will no longer update
eu_leadershipfrom the next week
##V1.43
update data from Jan 21 to Jan 27
##V1.42
update data from Jan 14 to Jan 20
@socialstyrelsentweeted 0 message
##V1.41
update data from Jan 7 to Jan 13
election_ushas been removed from my tracking list
##V1.40
update data from Dec 31 to Jan 6 (2021)
@socialstyrelsentweeted 0 message
##V1.39
update data from Dec 24 to Dec 30
@Itamaraty_ENtweeted 0 message
##V1.38
update data from Dec 17 to Dec 23
Merry Xmas
##V1.37
update data from Dec 10 to Dec 16
- Due to their low tweeting frequency,
@BrazilGovNewsand@French_Govhave been removed from my tracking list.
##V1.36
update data from Dec 3 to Dec 9
@BrazilGovNewsand@French_Govtweet 0 message
##V1.35
update data from Nov 26 to Dec 2
@BrazilGovNewsand@French_Govtweet 0 message
##V1.34
update data from Nov 19 to Nov 25
@BrazilGovNewsand@French_Govtweet 0 message
##V1.33
update data from Nov 12 to Nov 18
@BrazilGovNewsand@French_Govtweet 0 message
##V1.32
update data from Nov 5 to Nov 11
@BrazilGovNewsand@French_Govtweet 0 message
##V1.31
update data from Oct 29 to N
数据加载示例(表格/文本类)
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
完整仓库:github.com/narcisoyu/Institional-and-news-media-tweet-dataset-for-COVID-19-social-science-research
精度瓶颈?数据缺失?
当前公开数据无法满足您的算法精度?千方提供针对 新型冠状病毒肺炎 的高质量、多模态真实临床数据定制解决方案。




