Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.

Journal: JMIR public health and surveillance

PMID: 33108310

Abstract

BACKGROUND: COVID-19 is a scientifically and medically novel disease that is not fully understood because it has yet to be consistently and deeply studied. Among the gaps in research on the COVID-19 outbreak, there is a lack of sufficient infoveillance data.

Authors

Sakun Boon-Itt

Department of Operations Management, Center of Excellence in Operations and Information Management, Thammasat Business School, Thammasat University, Bangkok, Thailand.
Yukolpat Skunkan

Bangkok Christian Hospital, Bangkok, Thailand.

Keywords

COVID-19 Data Mining Health Knowledge, Attitudes, Practice Humans Models, Psychological Natural Language Processing Pandemics Social Media

External Resources

View on PubMed Access via DOI PubMed (33108310)

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.

Abstract

Authors

Keywords

External Resources

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