Open AccessTwitter sentiment analysis for COVID-19 associated mucormycosis
Author(s) -
Maneet Singh,
Hennaav Kaur Dhillon,
Parul Ichhpujani,
S. R. S. Iyengar,
Ramneek Kaur
Publication year - 2022
Publication title -
indian journal of ophthalmology/indian journal of ophthalmology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.542
H-Index - 51
eISSN - 1998-3689
pISSN - 0301-4738
DOI - 10.4103/ijo.ijo_324_22
Subject(s) - sentiment analysis , popularity , covid-19 , social media , lexicon , pandemic , computer science , medicine , advertising , artificial intelligence , world wide web , psychology , pathology , business , social psychology , infectious disease (medical specialty) , disease
COVID-19-associated mucormycosis (CAM) was a serious public health problem during the second wave of COVID-19 in India. We planned to analyze public perceptions by sentiment analysis of Twitter data regarding CAM.