On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19
- DOI
- 10.1038/s41598-023-37592-1
- Published
- 2023-07-02
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-023-37592-1,
title = {On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19},
author = {Meghna Chaudhary and Kristin Kosyluk and Sylvia Thomas and Tempestt Neal},
year = {2023},
journal = {Scientific Reports},
doi = {10.1038/s41598-023-37592-1},
url = {https://doi.org/10.1038/s41598-023-37592-1}
}RIS
TY - JOUR TI - On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19 AU - Meghna Chaudhary AU - Kristin Kosyluk AU - Sylvia Thomas AU - Tempestt Neal PY - 2023 JO - Scientific Reports DO - 10.1038/s41598-023-37592-1 UR - https://doi.org/10.1038/s41598-023-37592-1 ER -
APA
Chaudhary, M., Kosyluk, K., Thomas, S., & Neal, T. (2023). On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19. Scientific Reports. https://doi.org/10.1038/s41598-023-37592-1
Source records
- crossref · retrieved 2026-09-25T15:29:16.459Z