Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sarah Alqurashi"'
Autor:
Sarah Alqurashi, Abdulaziz Alashaikh, Mahmoud Nabil, Eisa Alanazi, Ahmed Sherif, Waleed Alsmary
Publikováno v:
2021 3rd IEEE Middle East and North Africa COMMunications Conference (MENACOMM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ce6f0a8759a674cb5baa1f0d277ce37
https://doi.org/10.1109/menacomm50742.2021.9678304
https://doi.org/10.1109/menacomm50742.2021.9678304
UNSTRUCTURED REMOVE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3d4150bb5f35e5c010f736a1cb37311
https://doi.org/10.2196/preprints.26446
https://doi.org/10.2196/preprints.26446
Correction: Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 12, p e26446 (2020)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adeecdb12418605063a36755c35e3db9
http://www.jmir.org/2020/12/e26446/
http://www.jmir.org/2020/12/e26446/
Since the first confirmed case of COVID-19, information was spreading in large amounts over social media platforms. Information spreading about the COVID-19 pandemic can strongly influence people’s behavior. Therefore, identifying information super
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6744d3c042c46f9bf598afa5be3bf6e0
BackgroundMassive amount of covid-19 related data is generated everyday by Twitter users. Self-reports of covid-19 symptoms on Twitter can reveal a great deal about the disease and its prevalence in the community. In particular, self-reports can be u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc21f5f643f89a48a5f55fec8b5bc866
BACKGROUND A substantial amount of COVID-19–related data is generated by Twitter users every day. Self-reports of COVID-19 symptoms on Twitter can reveal a great deal about the disease and its prevalence in the community. In particular, self-report
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::502ecea9c89d2b60df534de817ff1219
https://doi.org/10.2196/preprints.21329
https://doi.org/10.2196/preprints.21329
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 11, p e21329 (2020)
Journal of Medical Internet Research
Journal of Medical Internet Research
Background A substantial amount of COVID-19–related data is generated by Twitter users every day. Self-reports of COVID-19 symptoms on Twitter can reveal a great deal about the disease and its prevalence in the community. In particular, self-report
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65c9e46c84bce68356062e7eff6edc7d
https://doi.org/10.2196/21329
https://doi.org/10.2196/21329