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

ABSTRACT: According to data from the U.S. Center for Disease Control and Prevention, as of June 2020, a significant number of African Americans had been infected with the coronavirus disease, experiencing disproportionately higher death rates compared to other demographic groups. These disparities highlight the urgent need to examine the experiences, behaviors, and opinions of the African American population in relation to the COVID-19 pandemic. By understanding their unique challenges in navigating matters of health and well-being, we can work towards promoting health equity, eliminating disparities, and addressing persistent barriers to care. Since Twitter data has shown significant promise as a representation of human behavior and for opinion mining, this study leverages Twitter data published in

SUBMITTER: Chaudhary M 

PROVIDER: S-EPMC10315393 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature