On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19.

Chaudhary M, Kosyluk K, Thomas S, Neal T

DOI: 10.1038/s41598-023-37592-1
Published: 2023 Jul 2
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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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 = {Chaudhary M and Kosyluk K and Thomas S and Neal T},
  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  - Chaudhary M
AU  - Kosyluk K
AU  - Thomas S
AU  - Neal T
PY  - 2023
JO  - Scientific reports
DO  - 10.1038/s41598-023-37592-1
UR  - https://doi.org/10.1038/s41598-023-37592-1
ER  -

APA

M, C., K, K., S, T., & T, N. (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

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pubmed · retrieved 2026-11-10T13:49:00.378Z