Coronavirus (COVID-19) Geo-tagged Tweets Dataset
收藏Mendeley Data2024-01-31 更新2024-06-29 收录
下载链接:
https://ieee-dataport.org/open-access/coronavirus-covid-19-geo-tagged-tweets-dataset
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.-------------------------------------Related: Coronavirus (COVID-19) Tweets Sentiment Trend (Global), Coronavirus (COVID-19) Tweets Dataset and Tweets Originating from India During COVID-19 Lockdowns 1, 2, 3, 4-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 241,501 tweets— Coverage : Global— Language : English (EN)— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Usage policy : As per Twitter's Developer Policy— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time of each CSV file present in this dataset.
本数据集包含与新型冠状病毒肺炎(COVID-19)疫情相关的带地理位置标签推文的ID及其情感评分。这些推文由部署于https://live.rlamsal.com.np的一项正在开展的项目采集。该模型通过90余个疫情相关场景下常用的关键词与话题标签,监测实时推特(Twitter)信息流中与冠状病毒相关的推文。遵循推特的内容再分发政策,本数据集仅公开推文ID。您可通过推文水化(hydrating)这些ID重构完整数据集。本数据集内的推文ID均对应携带精确地理位置信息的推文。
——相关资源:冠状病毒(COVID-19)推文情感趋势(全球)、冠状病毒(COVID-19)推文数据集,以及印度在COVID-19四次封控期间发布的推文——
以下为本数据集的简要概览:
- 数据集名称:GeoCOV19Tweets数据集
- 推文数量:241,501条
- 覆盖范围:全球
- 语言:英语(EN)
- 基础数据集:冠状病毒(COVID-19)推文数据集(COV19Tweets数据集)
- 更新频率:每日
- 使用政策:遵循推特开发者政策
- 有效关键词与话题标签:keywords.tsv
请访问该基础数据集页面,以了解本数据集内各CSV文件的采集日期与时间详情。
创建时间:
2024-01-31



