Spatio-temporal sentiment mining of COVID-19 Arabic social media

T Elsaka, I Afyouni, I Hashem, Z Al Aghbari - ISPRS International Journal …, 2022 - mdpi.com
Since the recent outbreak of COVID-19, many scientists have started working on distinct
challenges related to mining the available large datasets from social media as an effective …

[HTML][HTML] Social media monitoring of the COVID-19 pandemic and influenza epidemic with adaptation for informal language in arabic twitter data: Qualitative study

L Alsudias, P Rayson - JMIR medical informatics, 2021 - medinform.jmir.org
Background Twitter is a real-time messaging platform widely used by people and
organizations to share information on many topics. Systematic monitoring of social media …

Correlation analysis of spatio-temporal Arabic COVID-19 tweets

T Elsaka, I Afyouni, I Hashem, Z Al Aghbari - Proceedings of the 2nd …, 2021 - dl.acm.org
Since the recent COVID-19 outbreak, several researchers have begun to focus on various
difficulties to data mining of social data to study people's reactions to the outbreak. Recent …

Multi-scale sentiment analysis of location-enriched COVID-19 arabic social data

T Elsaka, I Afyouni, IAT Hashem… - Discovery Science: 24th …, 2021 - Springer
After the recent outbreak of COVID-19, researchers have risen working on several
challenges related to the mining of social data to learn about people's reactions to the …

[图书][B] Using Arabic Twitter to Support Analysis of the Spread of Infectious Diseases

LS Alsudias - 2022 - search.proquest.com
This study investigates how to use Arabic social media content, especially Twitter, to
measure the incidence of infectious diseases. People use social media applications such as …