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Feature selection by machine learning models to identify the public’s changing priorities during the COVID-19 pandemic
Author(s) -
Kenan Mengüç,
Nezir Aydın
Publication year - 2022
Publication title -
journal of ambient intelligence and smart environments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.381
H-Index - 29
eISSN - 1876-1372
pISSN - 1876-1364
DOI - 10.3233/ais-220200
Subject(s) - pandemic , covid-19 , artificial intelligence , work (physics) , set (abstract data type) , identity (music) , computer science , feature selection , political science , data science , economic growth , operations research , engineering , economics , aesthetics , medicine , mechanical engineering , philosophy , disease , pathology , infectious disease (medical specialty) , programming language

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