Published June 15, 2021 | Version v1

Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA - Dataset

  • 1. Federal University of Sao Paulo

Description

About

This is a dataset containing twitter message id's, which we use to analyze messages related to COVID-19. The messages were collected between April 17,2020 through August 08, 2020, and each dataset has approximately 3M id's.

Usage

Download and unzip the files. The language can be identified by the substring pt or en in the file name.

You can use these IDs to download the full tweet objects. You can do this using a script like this.

If you use this data, please quote our work:

@article{GARCIA2021107057,
  title = {Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA},
  journal = {Applied Soft Computing},
  volume = {101},
  pages = {107057},
  year = {2021},
  issn = {1568-4946},
  doi = {https://doi.org/10.1016/j.asoc.2020.107057},
  url = {https://www.sciencedirect.com/science/article/pii/S1568494620309959},
  author = {Klaifer Garcia and Lilian Berton},
  keywords = {COVID-19, Twitter, Topic detection, Sentiment analysis, Portuguese language, English language},
}

 

Files

covid-data-en-unique-ids.zip

Files (43.7 MB)

Name Size
md5:3139f2a09752b8d653e26bdb485a926f
21.8 MB Preview Download
md5:01ebb96b30b7bb21be3a86214a85ca78
21.9 MB Preview Download

Additional details

Related works

Cites
Journal article: 10.1016/j.asoc.2020.107057 (DOI)