Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283767611> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4283767611 abstract "The COVID-19 virus has spread rapidly to the Arab World, affecting the public health and economy. As a result, people started communicating about the pandemic through social media such as Twitter. This paper utilizes text mining to extract useful insights into people’s perceptions and reactions to the pandemic. First, we identified 11 general topics under which COVID-19 tweets emerging from the Arab region fall. Next, we generated training data consisting of English, multidialectal Arabic, and French tweets that were manually classified into one or more of the identified 11 topics via crowdsourcing. These training data were then used to train various deep learning models to automatically classify a tweet into one or more of the 11 topics. Our best performing models were then used to perform a large-scale analysis of COVID-19 tweets emerging from the Arab region and spanning a period of over one year. Our analysis indicates that the majority of the tweets analyzed emerged from Saudi Arabia, UAE, and Egypt and that the majority of the tweets were generated by males. We also observed a surge in tweeting about all the topics as the pandemic broke followed by a slow and steady decline over the following months. We finally performed sentiment analysis on the analyzed tweets, which indicated a strong negative sentiment until mid of September 2020, after which we observed a strong positive sentiment that coincided with the surge in tweeting about vaccines." @default.
- W4283767611 created "2022-07-03" @default.
- W4283767611 creator A5018343355 @default.
- W4283767611 creator A5053137813 @default.
- W4283767611 date "2022-07-02" @default.
- W4283767611 modified "2023-09-26" @default.
- W4283767611 title "A large-scale analysis of COVID-19 tweets in the Arab region" @default.
- W4283767611 cites W2064675550 @default.
- W4283767611 cites W2265846598 @default.
- W4283767611 cites W2493916176 @default.
- W4283767611 cites W2979826702 @default.
- W4283767611 cites W2986154550 @default.
- W4283767611 cites W3015218641 @default.
- W4283767611 cites W3033939743 @default.
- W4283767611 cites W3041699688 @default.
- W4283767611 cites W3042995070 @default.
- W4283767611 cites W3047045277 @default.
- W4283767611 cites W3090154305 @default.
- W4283767611 cites W3116641301 @default.
- W4283767611 cites W3128715259 @default.
- W4283767611 cites W3172739715 @default.
- W4283767611 cites W3188037342 @default.
- W4283767611 cites W3202767112 @default.
- W4283767611 cites W4210560402 @default.
- W4283767611 doi "https://doi.org/10.1007/s13278-022-00902-y" @default.
- W4283767611 hasPublicationYear "2022" @default.
- W4283767611 type Work @default.
- W4283767611 citedByCount "1" @default.
- W4283767611 countsByYear W42837676112023 @default.
- W4283767611 crossrefType "journal-article" @default.
- W4283767611 hasAuthorship W4283767611A5018343355 @default.
- W4283767611 hasAuthorship W4283767611A5053137813 @default.
- W4283767611 hasBestOaLocation W42837676111 @default.
- W4283767611 hasConcept C136764020 @default.
- W4283767611 hasConcept C138885662 @default.
- W4283767611 hasConcept C142724271 @default.
- W4283767611 hasConcept C154945302 @default.
- W4283767611 hasConcept C204321447 @default.
- W4283767611 hasConcept C205649164 @default.
- W4283767611 hasConcept C2778755073 @default.
- W4283767611 hasConcept C2779134260 @default.
- W4283767611 hasConcept C3008058167 @default.
- W4283767611 hasConcept C41008148 @default.
- W4283767611 hasConcept C41895202 @default.
- W4283767611 hasConcept C518677369 @default.
- W4283767611 hasConcept C524204448 @default.
- W4283767611 hasConcept C58640448 @default.
- W4283767611 hasConcept C62230096 @default.
- W4283767611 hasConcept C66402592 @default.
- W4283767611 hasConcept C71924100 @default.
- W4283767611 hasConcept C89623803 @default.
- W4283767611 hasConcept C96455323 @default.
- W4283767611 hasConceptScore W4283767611C136764020 @default.
- W4283767611 hasConceptScore W4283767611C138885662 @default.
- W4283767611 hasConceptScore W4283767611C142724271 @default.
- W4283767611 hasConceptScore W4283767611C154945302 @default.
- W4283767611 hasConceptScore W4283767611C204321447 @default.
- W4283767611 hasConceptScore W4283767611C205649164 @default.
- W4283767611 hasConceptScore W4283767611C2778755073 @default.
- W4283767611 hasConceptScore W4283767611C2779134260 @default.
- W4283767611 hasConceptScore W4283767611C3008058167 @default.
- W4283767611 hasConceptScore W4283767611C41008148 @default.
- W4283767611 hasConceptScore W4283767611C41895202 @default.
- W4283767611 hasConceptScore W4283767611C518677369 @default.
- W4283767611 hasConceptScore W4283767611C524204448 @default.
- W4283767611 hasConceptScore W4283767611C58640448 @default.
- W4283767611 hasConceptScore W4283767611C62230096 @default.
- W4283767611 hasConceptScore W4283767611C66402592 @default.
- W4283767611 hasConceptScore W4283767611C71924100 @default.
- W4283767611 hasConceptScore W4283767611C89623803 @default.
- W4283767611 hasConceptScore W4283767611C96455323 @default.
- W4283767611 hasIssue "1" @default.
- W4283767611 hasLocation W42837676111 @default.
- W4283767611 hasOpenAccess W4283767611 @default.
- W4283767611 hasPrimaryLocation W42837676111 @default.
- W4283767611 hasRelatedWork W2054197840 @default.
- W4283767611 hasRelatedWork W2057854333 @default.
- W4283767611 hasRelatedWork W2288974521 @default.
- W4283767611 hasRelatedWork W2466560673 @default.
- W4283767611 hasRelatedWork W2748952813 @default.
- W4283767611 hasRelatedWork W2886096142 @default.
- W4283767611 hasRelatedWork W3027572503 @default.
- W4283767611 hasRelatedWork W3124707056 @default.
- W4283767611 hasRelatedWork W3128235859 @default.
- W4283767611 hasRelatedWork W4255039087 @default.
- W4283767611 hasVolume "12" @default.
- W4283767611 isParatext "false" @default.
- W4283767611 isRetracted "false" @default.
- W4283767611 workType "article" @default.