Opinion analysis and aspect understanding during covid-19 pandemic using BERT-Bi-LSTM ensemble method

• Published in: Scientific reports Vol. 12; no. 1; pp. 17095 - 15
• Main Authors: Wankhade, Mayur, Rao, Annavarapu Chandra Sekhara
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 12.10.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/117; 639/705/258; 692/700/228; Attitude; Coronaviruses; COVID-19; COVID-19 - epidemiology; Health policy; Humanities and Social Sciences; Humans; Long short-term memory; multidisciplinary; Pandemics; Public health; Public Opinion; Science; Science (multidisciplinary); Social Media
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-21604-7

Social media platforms significantly increase general information about disease severity and inform preventive measures among community members. To identify public opinion through tweets on the subject of Covid-19 and investigate public sentiment in the country over the period. This article proposed...