Open AccessMonitoring the well-being of vulnerable transit riders using machine learning based sentiment analysis and social media: Lessons from COVID-19
Author(s) -
Martino Tran,
Christina Draeger,
Xuerou Wang,
Abbas Nikbakht
Publication year - 2022
Publication title -
environment and planning. b, urban analytics and city science/environment and planning. b, urban analytics and city science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.889
H-Index - 90
eISSN - 2399-8091
pISSN - 2399-8083
DOI - 10.1177/23998083221104489
Subject(s) - social distance , public transport , pandemic , data collection , population , transit (satellite) , social media , public health , business , mass gathering , ethnic group , psychology , covid-19 , advertising , geography , applied psychology , public relations , political science , environmental health , transport engineering , medicine , sociology , engineering , social science , nursing , disease , pathology , law , infectious disease (medical specialty)