Open AccessCOVID-19 Surveiller: toward a robust and effective pandemic surveillance system based on social media mining
Author(s) -
Jyun-Yu Jiang,
Yichao Zhou,
Xiusi Chen,
Yan-Ru Jhou,
Zhao Li-qi,
Sabrina Liu,
Po-Chun Yang,
Jule Ahmar,
Wei Wang
Publication year - 2021
Publication title -
philosophical transactions - royal society. mathematical, physical and engineering sciences/philosophical transactions - royal society. mathematical, physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2021.0125
Subject(s) - computer science , social media , pandemic , leverage (statistics) , data science , robustness (evolution) , covid-19 , artificial intelligence , machine learning , infectious disease (medical specialty) , world wide web , disease , medicine , biochemistry , chemistry , pathology , gene