Coronavirus (COVID-19) Geo-tagged Tweets Dataset

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.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------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 : 265,976 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.

本数据集收录了与新冠疫情（COVID-19）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的在研项目采集所得。该模型依托90余种疫情相关常用关键词与话题标签，实时监控推特（Twitter）平台上的新冠相关推文信息流。遵循推特内容再分发政策，本数据集仅共享推文ID，使用者可通过推文水化（hydrating）操作重构完整数据集。本数据集内的推文ID均对应带有精确地理位置标注的推文。本数据集关联的学术论文可参见：《大规模新冠推文数据集的设计与分析》
——————————————————相关数据集：全球新冠推文情感趋势数据集、新冠推文数据集以及印度新冠疫情封控期间（第1至4轮）产生的推文数据集——————————————————
本数据集概况如下：
— 数据集名称：GeoCOV19Tweets 数据集
— 推文总量：265,976条
— 覆盖范围：全球
— 语言：英语（EN）
— 使用条款：使用本数据集即代表您同意：(i) 仅将本数据集内容及由其生成的数据用于非商业性科研用途；(ii) 始终遵守推特开发者政策；(iii) 引用如下学术论文：Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z
— 关联主数据集：新冠推文数据集（COV19Tweets Dataset）
— 更新频率：每日更新
— 活跃关键词与话题标签文件：keywords.tsv
如需了解本数据集中各CSV文件的采集时间（及其他相关说明），请访问该主数据集页面。