Perceived Impact of COVID-19 in an Underserved Community: A Natural Language Processing Approach.

Journal: Journal of advanced nursing

Published Date: Oct 7, 2024

Abstract

AIM: To utilise natural language processing (NLP) to analyse interviews about the impact of COVID-19 in underserved communities and to compare it to traditional thematic analysis in a small subset of interviews.

Authors

Ashleigh Holmes

School of Nursing, The State University of New York, University at Buffalo, Buffalo, New York, USA.
Amanjot Singh Sachar

School of Engineering and Applied Sciences, The State University of New York, University at Buffalo, Buffalo, New York, USA.
Yu-Ping Chang

School of Nursing, The State University of New York, University at Buffalo, Buffalo, New York, USA.

Keywords

Adult Aged COVID-19 Female Humans Male Medically Underserved Area Middle Aged Natural Language Processing Qualitative Research SARS-CoV-2 Spirituality United States

External Resources

View on PubMed Access via DOI PubMed (39373025)

Perceived Impact of COVID-19 in an Underserved Community: A Natural Language Processing Approach.

Abstract

Authors

Keywords

External Resources

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