citiusLTL/Twitter-COVID-19
收藏Hugging Face2023-10-27 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/citiusLTL/Twitter-COVID-19
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资源简介：
---
license: gpl-3.0
task_categories:
- text-classification
language:
- es
- en
---
**General description**:
This dataset comprisses a set of tweets crawled during the COVID-19 pandemic (from March 2020 to June 2021). Tweets are located in two different regions: Spain and USA. This adds value to the collection, as it contains data in two languages.
This data was used as part of a broader study that aimed to determine the evolution of different personality traits and disorders during the pandemic. Thus, weak labels for different dimensions, such as sentiment, personality prevalence, and others, are also available.
Further details about this experimentation can be found in the [paper](https://link.springer.com/article/10.1007/s10844-023-00810-3) or [Github](https://github.com/MarcosFP97/COVID-19-Personality).
**Data**:
A sample of the data can be visualised and downloaded from this card. More specifically, it corresponds to the month of January 2021 and tweets are located on USA. Tweets were anonymized for privacy reasons.
The whole dataset is available upon request to fullfil Twitter's restrictions. You can contact either with marcosfernandez.pichel@usc.es or ezra.aragon@usc.es to obtain it.
**Citation**:
For all the future studies using our data, we kindly ask to quote our paper:
@article{fernandez2023personality, \
title={Personality trait analysis during the COVID-19 pandemic: a comparative study on social media}, \
author={Fern{\'a}ndez-Pichel, Marcos and Arag{\'o}n, Mario Ezra and Saborido-Pati{\~n}o, Juli{\'a}n and Losada, David E}, \
journal={Journal of Intelligent Information Systems}, \
pages={1--26}, \
year={2023}, \
publisher={Springer} \
}
提供机构：
citiusLTL
原始信息汇总
数据集概述
一般描述
该数据集包含一组在COVID-19疫情期间（从2020年3月至2021年6月）爬取的推文。这些推文来自两个不同的地区：西班牙和美国，因此数据集包含两种语言的数据。该数据集被用于一项更广泛的研究，旨在确定疫情期间不同人格特质和障碍的演变。因此，数据集中还提供了关于情感、人格普遍性等多个维度的弱标签。
数据
数据集的一个样本可以从本页面可视化和下载，具体对应2021年1月的推文，这些推文位于美国。出于隐私考虑，推文已被匿名化。完整数据集可根据Twitter的限制要求，通过联系marcosfernandez.pichel@usc.es或ezra.aragon@usc.es获取。
引用
对于未来使用该数据集的所有研究，请引用以下论文：
plaintext @article{fernandez2023personality, title={Personality trait analysis during the COVID-19 pandemic: a comparative study on social media}, author={Fernández-Pichel, Marcos and Aragón, Mario Ezra and Saborido-Patiño, Julián and Losada, David E}, journal={Journal of Intelligent Information Systems}, pages={1--26}, year={2023}, publisher={Springer} }
