Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data

Huosong Xia; Wuyue An; Jiaze Li; Zuopeng (Justin) Zhang

doi:10.1016/j.seps.2020.100941

Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data

Huosong Xia, Wuyue An, Jiaze Li, Zuopeng (Justin) Zhang

Coggin College of Business

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	100941
Journal	Socio-Economic Planning Sciences
Volume	80
DOIs	https://doi.org/10.1016/j.seps.2020.100941
State	Published - Mar 2022
Externally published	Yes

ASJC Scopus Subject Areas

Geography, Planning and Development
Economics and Econometrics
Strategy and Management
Statistics, Probability and Uncertainty
Management Science and Operations Research

Keywords

Analysis of public opinion
COVID-19
Governance suggestion
Natural language processing
Outlier knowledge management

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10.1016/j.seps.2020.100941

Cite this

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title = "Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data",

keywords = "Analysis of public opinion, COVID-19, Governance suggestion, Natural language processing, Outlier knowledge management",

author = "Huosong Xia and Wuyue An and Jiaze Li and Zhang, {Zuopeng (Justin)}",

note = "Publisher Copyright: {\textcopyright} 2020",

year = "2022",

month = mar,

doi = "10.1016/j.seps.2020.100941",

language = "English",

volume = "80",

}

TY - JOUR

T1 - Outlier knowledge management for extreme public health events

T2 - Understanding public opinions about COVID-19 based on microblog data

AU - Xia, Huosong

AU - An, Wuyue

AU - Li, Jiaze

AU - Zhang, Zuopeng (Justin)

PY - 2022/3

Y1 - 2022/3

KW - Analysis of public opinion

KW - COVID-19

KW - Governance suggestion

KW - Natural language processing

KW - Outlier knowledge management

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U2 - 10.1016/j.seps.2020.100941

DO - 10.1016/j.seps.2020.100941

M3 - Article

AN - SCOPUS:85090968133

SN - 0038-0121

VL - 80

JO - Socio-Economic Planning Sciences

JF - Socio-Economic Planning Sciences

M1 - 100941

ER -

Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data

ASJC Scopus Subject Areas

Keywords

Access to Document

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