COVID-19 vaccine hesitancy: a social media analysis using deep learning.
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| Title: | COVID-19 vaccine hesitancy: a social media analysis using deep learning. |
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| Authors: | Nyawa, Serge1, s.nyawa@tbs-education.fr, Tchuente, Dieudonné1, Fosso-Wamba, Samuel1 |
| Source: | Annals of Operations Research; Aug2024, Vol. 339 Issue 1/2, p477-515, 39p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 178776588 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: COVID-19 vaccine hesitancy: a social media analysis using deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Nyawa%2C+Serge%22">Nyawa, Serge</searchLink><relatesTo>1</relatesTo>, <i>s.nyawa@tbs-education.fr</i><br /><searchLink fieldCode="AU" term="%22Tchuente%2C+Dieudonné%22">Tchuente, Dieudonné</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Fosso-Wamba%2C+Samuel%22">Fosso-Wamba, Samuel</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Aug2024, Vol. 339 Issue 1/2, p477-515, 39p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178776588 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-022-04792-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 39 StartPage: 477 Titles: – TitleFull: COVID-19 vaccine hesitancy: a social media analysis using deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nyawa, Serge – PersonEntity: Name: NameFull: Tchuente, Dieudonné – PersonEntity: Name: NameFull: Fosso-Wamba, Samuel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 339 – Type: issue Value: 1/2 Titles: – TitleFull: Annals of Operations Research Type: main |
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