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 datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 276,539 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.

这个数据集包含与新冠疫情（COVID-19 pandemic）相关的地理标记推文（geo-tagged tweets）的ID和情感分数。这些推文由部署于https://live.rlamsal.com.np的一个持续项目捕获。该模型使用90余种在提及疫情时常用的关键词和标签，监控实时Twitter流中的新冠病毒相关推文。遵循Twitter的内容再分发政策，仅共享推文ID。您可通过激活（hydrating）这些ID来重建数据集。本数据集的推文ID对应于提供精确位置的推文。与本数据集相关的论文可在此获取：《大规模新冠疫情推文数据集的设计与分析》
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相关数据集：(a) 新冠病毒（COVID-19）推文情感趋势（全球）(b) 新冠疫情封锁期间源自印度的推文
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以下为本数据集的快速概览：
— 数据集名称：GeoCOV19Tweets数据集
— 推文数量：276,539条
— 覆盖范围：全球
— 语言：英语（EN）
— 数据集使用条款：使用本数据集即表示您同意(i)仅将本数据集内容及由此生成的数据用于非商业研究；(ii)遵守Twitter开发者政策；(iii)引用以下论文：Lamsal, R. 《大规模新冠疫情推文数据集的设计与分析》，《应用智能》（2020），https://doi.org/10.1007/s10489-020-02029-z
— 主数据集：新冠病毒（COVID-19）推文数据集（COV19Tweets Dataset）
— 数据集更新：每日
— 活跃关键词与标签：keywords.tsv
请访问此页面（主数据集）以获取本数据集中各CSV文件的收集日期、时间及其他说明的详细信息。